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microwatt/fpu.vhdl

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core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- Floating-point unit for Microwatt
library ieee;
use ieee.std_logic_1164.all;
use ieee.numeric_std.all;
library work;
use work.insn_helpers.all;
use work.decode_types.all;
use work.crhelpers.all;
use work.helpers.all;
use work.common.all;
entity fpu is
port (
clk : in std_ulogic;
rst : in std_ulogic;
e_in : in Execute1toFPUType;
e_out : out FPUToExecute1Type;
w_out : out FPUToWritebackType
);
end entity fpu;
architecture behaviour of fpu is
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
type fp_number_class is (ZERO, FINITE, INFINITY, NAN);
constant EXP_BITS : natural := 13;
type fpu_reg_type is record
class : fp_number_class;
negative : std_ulogic;
exponent : signed(EXP_BITS-1 downto 0); -- unbiased
mantissa : std_ulogic_vector(63 downto 0); -- 10.54 format
end record;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
type state_t is (IDLE,
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
DO_MCRFS, DO_MTFSB, DO_MTFSFI, DO_MFFS, DO_MTFSF,
FPU: Implement ftdiv and ftsqrt Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
DO_FMR, DO_FMRG, DO_FCMP, DO_FTDIV, DO_FTSQRT,
FPU: Implement floating convert to integer instructions This implements fctiw, fctiwz, fctiwu, fctiwuz, fctid, fctidz, fctidu and fctiduz, and adds tests for them. There are some subtleties around the setting of the inexact (XX) and invalid conversion (VXCVI) flags in the FPSCR. If the rounded value ends up being out of range, we need to set VXCVI and not XX. For a conversion to unsigned word or doubleword of a negative value that rounds to zero, we need to set XX and not VXCVI. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
DO_FCFID, DO_FCTI,
FPU: Implement floating round-to-integer instructions This implements frin, friz, frip and frim, and adds tests for them. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
DO_FRSP, DO_FRI,
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
DO_FADD, DO_FMUL, DO_FDIV, DO_FSQRT, DO_FMADD,
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
DO_FRE, DO_FRSQRTE,
FPU: Implement fsel Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
DO_FSEL,
FPU: Implement floating round-to-integer instructions This implements frin, friz, frip and frim, and adds tests for them. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
FRI_1,
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
ADD_1, ADD_SHIFT, ADD_2, ADD_3,
FPU: Implement fcmpu and fcmpo Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
CMP_1, CMP_2,
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
MULT_1,
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
FMADD_1, FMADD_2, FMADD_3,
FMADD_4, FMADD_5, FMADD_6,
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
LOOKUP,
DIV_2, DIV_3, DIV_4, DIV_5, DIV_6,
FPU: Implement fre[s] This just returns the value from the inverse lookup table. The result is accurate to better than one part in 512 (the architecture requires 1/256). This also adds a simple test, which relies on the particular values in the inverse lookup table, so it is not a general test. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
FRE_1,
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
RSQRT_1,
FPU: Implement ftdiv and ftsqrt Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
FTDIV_1,
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
SQRT_1, SQRT_2, SQRT_3, SQRT_4,
SQRT_5, SQRT_6, SQRT_7, SQRT_8,
SQRT_9, SQRT_10, SQRT_11, SQRT_12,
FPU: Implement floating convert to integer instructions This implements fctiw, fctiwz, fctiwu, fctiwuz, fctid, fctidz, fctidu and fctiduz, and adds tests for them. There are some subtleties around the setting of the inexact (XX) and invalid conversion (VXCVI) flags in the FPSCR. If the rounded value ends up being out of range, we need to set VXCVI and not XX. For a conversion to unsigned word or doubleword of a negative value that rounds to zero, we need to set XX and not VXCVI. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
INT_SHIFT, INT_ROUND, INT_ISHIFT,
INT_FINAL, INT_CHECK, INT_OFLOW,
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
FINISH, NORMALIZE,
ROUND_UFLOW, ROUND_OFLOW,
ROUNDING, ROUNDING_2, ROUNDING_3,
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
DENORM,
RENORM_A, RENORM_A2,
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
RENORM_B, RENORM_B2,
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
RENORM_C, RENORM_C2,
NAN_RESULT, EXC_RESULT);
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
type reg_type is record
state : state_t;
busy : std_ulogic;
instr_done : std_ulogic;
do_intr : std_ulogic;
core: Send FPU interrupts to writeback rather than execute1 Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
illegal : std_ulogic;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
op : insn_type_t;
insn : std_ulogic_vector(31 downto 0);
core: Send FPU interrupts to writeback rather than execute1 Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
nia : std_ulogic_vector(63 downto 0);
core: Track GPR hazards using tags that propagate through the pipelines This changes the way GPR hazards are detected and tracked. Instead of having a model of the pipeline in gpr_hazard.vhdl, which has to mirror the behaviour of the real pipeline exactly, we now assign a 2-bit tag to each instruction and record which GSPR the instruction writes. Subsequent instructions that need to use the GSPR get the tag number and stall until the value with that tag is being written back to the register file. For now, the forwarding paths are disabled. That gives about a 8% reduction in coremark performance. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
instr_tag : instr_tag_t;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
dest_fpr : gspr_index_t;
fe_mode : std_ulogic;
rc : std_ulogic;
is_cmp : std_ulogic;
single_prec : std_ulogic;
fpscr : std_ulogic_vector(31 downto 0);
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
a : fpu_reg_type;
b : fpu_reg_type;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
c : fpu_reg_type;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
r : std_ulogic_vector(63 downto 0); -- 10.54 format
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
s : std_ulogic_vector(55 downto 0); -- extended fraction
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
x : std_ulogic;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
p : std_ulogic_vector(63 downto 0); -- 8.56 format
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
y : std_ulogic_vector(63 downto 0); -- 8.56 format
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
result_sign : std_ulogic;
result_class : fp_number_class;
result_exp : signed(EXP_BITS-1 downto 0);
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
shift : signed(EXP_BITS-1 downto 0);
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
writing_back : std_ulogic;
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
int_result : std_ulogic;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
cr_result : std_ulogic_vector(3 downto 0);
cr_mask : std_ulogic_vector(7 downto 0);
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
old_exc : std_ulogic_vector(4 downto 0);
update_fprf : std_ulogic;
FPU: Implement the frsp instruction This brings in the invalid exception for the case of frsp with a signalling NaN as input, and the need to be able to convert a signalling NaN to a quiet NaN. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
quieten_nan : std_ulogic;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
tiny : std_ulogic;
denorm : std_ulogic;
round_mode : std_ulogic_vector(2 downto 0);
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
is_subtract : std_ulogic;
exp_cmp : std_ulogic;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
madd_cmp : std_ulogic;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
add_bsmall : std_ulogic;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
is_multiply : std_ulogic;
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
is_sqrt : std_ulogic;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
first : std_ulogic;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
count : unsigned(1 downto 0);
FPU: Implement ftdiv and ftsqrt Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
doing_ftdiv : std_ulogic_vector(1 downto 0);
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
opsel_a : std_ulogic_vector(1 downto 0);
use_a : std_ulogic;
use_b : std_ulogic;
use_c : std_ulogic;
invalid : std_ulogic;
negate : std_ulogic;
FPU: Decide on mask length a cycle earlier This moves longmask into the reg_type record, meaning that it now needs to be decided a cycle earlier, in order to help timing. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
longmask : std_ulogic;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end record;
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
type lookup_table is array(0 to 1023) of std_ulogic_vector(17 downto 0);
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
signal r, rin : reg_type;
signal fp_result : std_ulogic_vector(63 downto 0);
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
signal opsel_b : std_ulogic_vector(1 downto 0);
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
signal opsel_r : std_ulogic_vector(1 downto 0);
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
signal opsel_s : std_ulogic_vector(1 downto 0);
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
signal opsel_ainv : std_ulogic;
FPU: Do masking after adder rather than on A input The masking enabled by opsel_amask is only used when rounding, to trim the rounded result to the required precision. We now do the masking after the adder rather than before (on the A input). This gives the same result and helps timing. The path from r.shift through the mask generator and adder to v.r was showing up as a critical path. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
signal opsel_mask : std_ulogic;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
signal opsel_binv : std_ulogic;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
signal in_a : std_ulogic_vector(63 downto 0);
signal in_b : std_ulogic_vector(63 downto 0);
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
signal result : std_ulogic_vector(63 downto 0);
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
signal carry_in : std_ulogic;
signal lost_bits : std_ulogic;
signal r_hi_nz : std_ulogic;
signal r_lo_nz : std_ulogic;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
signal s_nz : std_ulogic;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
signal misc_sel : std_ulogic_vector(3 downto 0);
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
signal f_to_multiply : MultiplyInputType;
signal multiply_to_f : MultiplyOutputType;
signal msel_1 : std_ulogic_vector(1 downto 0);
signal msel_2 : std_ulogic_vector(1 downto 0);
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
signal msel_add : std_ulogic_vector(1 downto 0);
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
signal msel_inv : std_ulogic;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
signal inverse_est : std_ulogic_vector(18 downto 0);
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
-- opsel values
constant AIN_R : std_ulogic_vector(1 downto 0) := "00";
constant AIN_A : std_ulogic_vector(1 downto 0) := "01";
constant AIN_B : std_ulogic_vector(1 downto 0) := "10";
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
constant AIN_C : std_ulogic_vector(1 downto 0) := "11";
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
constant BIN_ZERO : std_ulogic_vector(1 downto 0) := "00";
constant BIN_R : std_ulogic_vector(1 downto 0) := "01";
FPU: Don't use mask generator for rounding Instead of using the mask generator in the rounding process, this uses simpler logic to add in a 1 at the appropriate position (bit 2 or bit 31, depending on precision) and mask off the low-order bits. Since there are only two positions at which the masking and incrementing need to be done, we don't need the full generality of the mask generator. This reduces the amount of logic and improves timing. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
constant BIN_RND : std_ulogic_vector(1 downto 0) := "10";
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
constant BIN_PS6 : std_ulogic_vector(1 downto 0) := "11";
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
constant RES_SUM : std_ulogic_vector(1 downto 0) := "00";
constant RES_SHIFT : std_ulogic_vector(1 downto 0) := "01";
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
constant RES_MULT : std_ulogic_vector(1 downto 0) := "10";
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
constant RES_MISC : std_ulogic_vector(1 downto 0) := "11";
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
constant S_ZERO : std_ulogic_vector(1 downto 0) := "00";
constant S_NEG : std_ulogic_vector(1 downto 0) := "01";
constant S_SHIFT : std_ulogic_vector(1 downto 0) := "10";
constant S_MULT : std_ulogic_vector(1 downto 0) := "11";
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- msel values
constant MUL1_A : std_ulogic_vector(1 downto 0) := "00";
constant MUL1_B : std_ulogic_vector(1 downto 0) := "01";
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
constant MUL1_Y : std_ulogic_vector(1 downto 0) := "10";
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
constant MUL1_R : std_ulogic_vector(1 downto 0) := "11";
constant MUL2_C : std_ulogic_vector(1 downto 0) := "00";
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
constant MUL2_LUT : std_ulogic_vector(1 downto 0) := "01";
constant MUL2_P : std_ulogic_vector(1 downto 0) := "10";
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
constant MUL2_R : std_ulogic_vector(1 downto 0) := "11";
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
constant MULADD_ZERO : std_ulogic_vector(1 downto 0) := "00";
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
constant MULADD_CONST : std_ulogic_vector(1 downto 0) := "01";
constant MULADD_A : std_ulogic_vector(1 downto 0) := "10";
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
constant MULADD_RS : std_ulogic_vector(1 downto 0) := "11";
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- Inverse lookup table, indexed by the top 8 fraction bits
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- The first 256 entries are the reciprocal (1/x) lookup table,
-- and the remaining 768 entries are the reciprocal square root table.
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- Output range is [0.5, 1) in 0.19 format, though the top
-- bit isn't stored since it is always 1.
-- Each output value is the inverse of the center of the input
-- range for the value, i.e. entry 0 is 1 / (1 + 1/512),
-- entry 1 is 1 / (1 + 3/512), etc.
signal inverse_table : lookup_table := (
-- 1/x lookup table
-- Unit bit is assumed to be 1, so input range is [1, 2)
18x"3fc01", 18x"3f411", 18x"3ec31", 18x"3e460", 18x"3dc9f", 18x"3d4ec", 18x"3cd49", 18x"3c5b5",
18x"3be2f", 18x"3b6b8", 18x"3af4f", 18x"3a7f4", 18x"3a0a7", 18x"39968", 18x"39237", 18x"38b14",
18x"383fe", 18x"37cf5", 18x"375f9", 18x"36f0a", 18x"36828", 18x"36153", 18x"35a8a", 18x"353ce",
18x"34d1e", 18x"3467a", 18x"33fe3", 18x"33957", 18x"332d7", 18x"32c62", 18x"325f9", 18x"31f9c",
18x"3194a", 18x"31303", 18x"30cc7", 18x"30696", 18x"30070", 18x"2fa54", 18x"2f443", 18x"2ee3d",
18x"2e841", 18x"2e250", 18x"2dc68", 18x"2d68b", 18x"2d0b8", 18x"2caee", 18x"2c52e", 18x"2bf79",
18x"2b9cc", 18x"2b429", 18x"2ae90", 18x"2a900", 18x"2a379", 18x"29dfb", 18x"29887", 18x"2931b",
18x"28db8", 18x"2885e", 18x"2830d", 18x"27dc4", 18x"27884", 18x"2734d", 18x"26e1d", 18x"268f6",
18x"263d8", 18x"25ec1", 18x"259b3", 18x"254ac", 18x"24fad", 18x"24ab7", 18x"245c8", 18x"240e1",
18x"23c01", 18x"23729", 18x"23259", 18x"22d90", 18x"228ce", 18x"22413", 18x"21f60", 18x"21ab4",
18x"2160f", 18x"21172", 18x"20cdb", 18x"2084b", 18x"203c2", 18x"1ff40", 18x"1fac4", 18x"1f64f",
18x"1f1e1", 18x"1ed79", 18x"1e918", 18x"1e4be", 18x"1e069", 18x"1dc1b", 18x"1d7d4", 18x"1d392",
18x"1cf57", 18x"1cb22", 18x"1c6f3", 18x"1c2ca", 18x"1bea7", 18x"1ba8a", 18x"1b672", 18x"1b261",
18x"1ae55", 18x"1aa50", 18x"1a64f", 18x"1a255", 18x"19e60", 18x"19a70", 18x"19686", 18x"192a2",
18x"18ec3", 18x"18ae9", 18x"18715", 18x"18345", 18x"17f7c", 18x"17bb7", 18x"177f7", 18x"1743d",
18x"17087", 18x"16cd7", 18x"1692c", 18x"16585", 18x"161e4", 18x"15e47", 18x"15ab0", 18x"1571d",
18x"1538e", 18x"15005", 18x"14c80", 18x"14900", 18x"14584", 18x"1420d", 18x"13e9b", 18x"13b2d",
18x"137c3", 18x"1345e", 18x"130fe", 18x"12da2", 18x"12a4a", 18x"126f6", 18x"123a7", 18x"1205c",
18x"11d15", 18x"119d2", 18x"11694", 18x"11359", 18x"11023", 18x"10cf1", 18x"109c2", 18x"10698",
18x"10372", 18x"10050", 18x"0fd31", 18x"0fa17", 18x"0f700", 18x"0f3ed", 18x"0f0de", 18x"0edd3",
18x"0eacb", 18x"0e7c7", 18x"0e4c7", 18x"0e1ca", 18x"0ded2", 18x"0dbdc", 18x"0d8eb", 18x"0d5fc",
18x"0d312", 18x"0d02b", 18x"0cd47", 18x"0ca67", 18x"0c78a", 18x"0c4b1", 18x"0c1db", 18x"0bf09",
18x"0bc3a", 18x"0b96e", 18x"0b6a5", 18x"0b3e0", 18x"0b11e", 18x"0ae5f", 18x"0aba3", 18x"0a8eb",
18x"0a636", 18x"0a383", 18x"0a0d4", 18x"09e28", 18x"09b80", 18x"098da", 18x"09637", 18x"09397",
18x"090fb", 18x"08e61", 18x"08bca", 18x"08936", 18x"086a5", 18x"08417", 18x"0818c", 18x"07f04",
18x"07c7e", 18x"079fc", 18x"0777c", 18x"074ff", 18x"07284", 18x"0700d", 18x"06d98", 18x"06b26",
18x"068b6", 18x"0664a", 18x"063e0", 18x"06178", 18x"05f13", 18x"05cb1", 18x"05a52", 18x"057f5",
18x"0559a", 18x"05342", 18x"050ed", 18x"04e9a", 18x"04c4a", 18x"049fc", 18x"047b0", 18x"04567",
18x"04321", 18x"040dd", 18x"03e9b", 18x"03c5c", 18x"03a1f", 18x"037e4", 18x"035ac", 18x"03376",
18x"03142", 18x"02f11", 18x"02ce2", 18x"02ab5", 18x"0288b", 18x"02663", 18x"0243d", 18x"02219",
18x"01ff7", 18x"01dd8", 18x"01bbb", 18x"019a0", 18x"01787", 18x"01570", 18x"0135b", 18x"01149",
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
18x"00f39", 18x"00d2a", 18x"00b1e", 18x"00914", 18x"0070c", 18x"00506", 18x"00302", 18x"00100",
-- 1/sqrt(x) lookup table
-- Input is in the range [1, 4), i.e. two bits to the left of the
-- binary point. Those 2 bits index the following 3 blocks of 256 values.
-- 1.0 ... 1.9999
18x"3fe00", 18x"3fa06", 18x"3f612", 18x"3f224", 18x"3ee3a", 18x"3ea58", 18x"3e67c", 18x"3e2a4",
18x"3ded2", 18x"3db06", 18x"3d73e", 18x"3d37e", 18x"3cfc2", 18x"3cc0a", 18x"3c85a", 18x"3c4ae",
18x"3c106", 18x"3bd64", 18x"3b9c8", 18x"3b630", 18x"3b29e", 18x"3af10", 18x"3ab86", 18x"3a802",
18x"3a484", 18x"3a108", 18x"39d94", 18x"39a22", 18x"396b6", 18x"3934e", 18x"38fea", 18x"38c8c",
18x"38932", 18x"385dc", 18x"3828a", 18x"37f3e", 18x"37bf6", 18x"378b2", 18x"37572", 18x"37236",
18x"36efe", 18x"36bca", 18x"3689a", 18x"36570", 18x"36248", 18x"35f26", 18x"35c06", 18x"358ea",
18x"355d4", 18x"352c0", 18x"34fb0", 18x"34ca4", 18x"3499c", 18x"34698", 18x"34398", 18x"3409c",
18x"33da2", 18x"33aac", 18x"337bc", 18x"334cc", 18x"331e2", 18x"32efc", 18x"32c18", 18x"32938",
18x"3265a", 18x"32382", 18x"320ac", 18x"31dd8", 18x"31b0a", 18x"3183e", 18x"31576", 18x"312b0",
18x"30fee", 18x"30d2e", 18x"30a74", 18x"307ba", 18x"30506", 18x"30254", 18x"2ffa4", 18x"2fcf8",
18x"2fa4e", 18x"2f7a8", 18x"2f506", 18x"2f266", 18x"2efca", 18x"2ed2e", 18x"2ea98", 18x"2e804",
18x"2e572", 18x"2e2e4", 18x"2e058", 18x"2ddce", 18x"2db48", 18x"2d8c6", 18x"2d646", 18x"2d3c8",
18x"2d14c", 18x"2ced4", 18x"2cc5e", 18x"2c9ea", 18x"2c77a", 18x"2c50c", 18x"2c2a2", 18x"2c038",
18x"2bdd2", 18x"2bb70", 18x"2b90e", 18x"2b6b0", 18x"2b454", 18x"2b1fa", 18x"2afa4", 18x"2ad4e",
18x"2aafc", 18x"2a8ac", 18x"2a660", 18x"2a414", 18x"2a1cc", 18x"29f86", 18x"29d42", 18x"29b00",
18x"298c2", 18x"29684", 18x"2944a", 18x"29210", 18x"28fda", 18x"28da6", 18x"28b74", 18x"28946",
18x"28718", 18x"284ec", 18x"282c4", 18x"2809c", 18x"27e78", 18x"27c56", 18x"27a34", 18x"27816",
18x"275fa", 18x"273e0", 18x"271c8", 18x"26fb0", 18x"26d9c", 18x"26b8a", 18x"2697a", 18x"2676c",
18x"26560", 18x"26356", 18x"2614c", 18x"25f46", 18x"25d42", 18x"25b40", 18x"2593e", 18x"25740",
18x"25542", 18x"25348", 18x"2514e", 18x"24f58", 18x"24d62", 18x"24b6e", 18x"2497c", 18x"2478c",
18x"2459e", 18x"243b0", 18x"241c6", 18x"23fde", 18x"23df6", 18x"23c10", 18x"23a2c", 18x"2384a",
18x"2366a", 18x"2348c", 18x"232ae", 18x"230d2", 18x"22efa", 18x"22d20", 18x"22b4a", 18x"22976",
18x"227a2", 18x"225d2", 18x"22402", 18x"22234", 18x"22066", 18x"21e9c", 18x"21cd2", 18x"21b0a",
18x"21944", 18x"2177e", 18x"215ba", 18x"213fa", 18x"21238", 18x"2107a", 18x"20ebc", 18x"20d00",
18x"20b46", 18x"2098e", 18x"207d6", 18x"20620", 18x"2046c", 18x"202b8", 18x"20108", 18x"1ff58",
18x"1fda8", 18x"1fbfc", 18x"1fa50", 18x"1f8a4", 18x"1f6fc", 18x"1f554", 18x"1f3ae", 18x"1f208",
18x"1f064", 18x"1eec2", 18x"1ed22", 18x"1eb82", 18x"1e9e4", 18x"1e846", 18x"1e6aa", 18x"1e510",
18x"1e378", 18x"1e1e0", 18x"1e04a", 18x"1deb4", 18x"1dd20", 18x"1db8e", 18x"1d9fc", 18x"1d86c",
18x"1d6de", 18x"1d550", 18x"1d3c4", 18x"1d238", 18x"1d0ae", 18x"1cf26", 18x"1cd9e", 18x"1cc18",
18x"1ca94", 18x"1c910", 18x"1c78c", 18x"1c60a", 18x"1c48a", 18x"1c30c", 18x"1c18e", 18x"1c010",
18x"1be94", 18x"1bd1a", 18x"1bba0", 18x"1ba28", 18x"1b8b2", 18x"1b73c", 18x"1b5c6", 18x"1b452",
18x"1b2e0", 18x"1b16e", 18x"1affe", 18x"1ae8e", 18x"1ad20", 18x"1abb4", 18x"1aa46", 18x"1a8dc",
-- 2.0 ... 2.9999
18x"1a772", 18x"1a608", 18x"1a4a0", 18x"1a33a", 18x"1a1d4", 18x"1a070", 18x"19f0c", 18x"19da8",
18x"19c48", 18x"19ae6", 18x"19986", 18x"19828", 18x"196ca", 18x"1956e", 18x"19412", 18x"192b8",
18x"1915e", 18x"19004", 18x"18eae", 18x"18d56", 18x"18c00", 18x"18aac", 18x"18958", 18x"18804",
18x"186b2", 18x"18562", 18x"18412", 18x"182c2", 18x"18174", 18x"18026", 18x"17eda", 18x"17d8e",
18x"17c44", 18x"17afa", 18x"179b2", 18x"1786a", 18x"17724", 18x"175de", 18x"17498", 18x"17354",
18x"17210", 18x"170ce", 18x"16f8c", 18x"16e4c", 18x"16d0c", 18x"16bcc", 18x"16a8e", 18x"16950",
18x"16814", 18x"166d8", 18x"1659e", 18x"16464", 18x"1632a", 18x"161f2", 18x"160ba", 18x"15f84",
18x"15e4e", 18x"15d1a", 18x"15be6", 18x"15ab2", 18x"15980", 18x"1584e", 18x"1571c", 18x"155ec",
18x"154bc", 18x"1538e", 18x"15260", 18x"15134", 18x"15006", 18x"14edc", 18x"14db0", 18x"14c86",
18x"14b5e", 18x"14a36", 18x"1490e", 18x"147e6", 18x"146c0", 18x"1459a", 18x"14476", 18x"14352",
18x"14230", 18x"1410c", 18x"13fea", 18x"13eca", 18x"13daa", 18x"13c8a", 18x"13b6c", 18x"13a4e",
18x"13930", 18x"13814", 18x"136f8", 18x"135dc", 18x"134c2", 18x"133a8", 18x"1328e", 18x"13176",
18x"1305e", 18x"12f48", 18x"12e30", 18x"12d1a", 18x"12c06", 18x"12af2", 18x"129de", 18x"128ca",
18x"127b8", 18x"126a6", 18x"12596", 18x"12486", 18x"12376", 18x"12266", 18x"12158", 18x"1204a",
18x"11f3e", 18x"11e32", 18x"11d26", 18x"11c1a", 18x"11b10", 18x"11a06", 18x"118fc", 18x"117f4",
18x"116ec", 18x"115e4", 18x"114de", 18x"113d8", 18x"112d2", 18x"111ce", 18x"110ca", 18x"10fc6",
18x"10ec2", 18x"10dc0", 18x"10cbe", 18x"10bbc", 18x"10abc", 18x"109bc", 18x"108bc", 18x"107be",
18x"106c0", 18x"105c2", 18x"104c4", 18x"103c8", 18x"102cc", 18x"101d0", 18x"100d6", 18x"0ffdc",
18x"0fee2", 18x"0fdea", 18x"0fcf0", 18x"0fbf8", 18x"0fb02", 18x"0fa0a", 18x"0f914", 18x"0f81e",
18x"0f72a", 18x"0f636", 18x"0f542", 18x"0f44e", 18x"0f35a", 18x"0f268", 18x"0f176", 18x"0f086",
18x"0ef94", 18x"0eea4", 18x"0edb4", 18x"0ecc6", 18x"0ebd6", 18x"0eae8", 18x"0e9fa", 18x"0e90e",
18x"0e822", 18x"0e736", 18x"0e64a", 18x"0e55e", 18x"0e474", 18x"0e38a", 18x"0e2a0", 18x"0e1b8",
18x"0e0d0", 18x"0dfe8", 18x"0df00", 18x"0de1a", 18x"0dd32", 18x"0dc4c", 18x"0db68", 18x"0da82",
18x"0d99e", 18x"0d8ba", 18x"0d7d6", 18x"0d6f4", 18x"0d612", 18x"0d530", 18x"0d44e", 18x"0d36c",
18x"0d28c", 18x"0d1ac", 18x"0d0cc", 18x"0cfee", 18x"0cf0e", 18x"0ce30", 18x"0cd54", 18x"0cc76",
18x"0cb9a", 18x"0cabc", 18x"0c9e0", 18x"0c906", 18x"0c82a", 18x"0c750", 18x"0c676", 18x"0c59c",
18x"0c4c4", 18x"0c3ea", 18x"0c312", 18x"0c23a", 18x"0c164", 18x"0c08c", 18x"0bfb6", 18x"0bee0",
18x"0be0a", 18x"0bd36", 18x"0bc62", 18x"0bb8c", 18x"0baba", 18x"0b9e6", 18x"0b912", 18x"0b840",
18x"0b76e", 18x"0b69c", 18x"0b5cc", 18x"0b4fa", 18x"0b42a", 18x"0b35a", 18x"0b28a", 18x"0b1bc",
18x"0b0ee", 18x"0b01e", 18x"0af50", 18x"0ae84", 18x"0adb6", 18x"0acea", 18x"0ac1e", 18x"0ab52",
18x"0aa86", 18x"0a9bc", 18x"0a8f0", 18x"0a826", 18x"0a75c", 18x"0a694", 18x"0a5ca", 18x"0a502",
18x"0a43a", 18x"0a372", 18x"0a2aa", 18x"0a1e4", 18x"0a11c", 18x"0a056", 18x"09f90", 18x"09ecc",
-- 3.0 ... 3.9999
18x"09e06", 18x"09d42", 18x"09c7e", 18x"09bba", 18x"09af6", 18x"09a32", 18x"09970", 18x"098ae",
18x"097ec", 18x"0972a", 18x"09668", 18x"095a8", 18x"094e8", 18x"09426", 18x"09368", 18x"092a8",
18x"091e8", 18x"0912a", 18x"0906c", 18x"08fae", 18x"08ef0", 18x"08e32", 18x"08d76", 18x"08cba",
18x"08bfe", 18x"08b42", 18x"08a86", 18x"089ca", 18x"08910", 18x"08856", 18x"0879c", 18x"086e2",
18x"08628", 18x"08570", 18x"084b6", 18x"083fe", 18x"08346", 18x"0828e", 18x"081d8", 18x"08120",
18x"0806a", 18x"07fb4", 18x"07efe", 18x"07e48", 18x"07d92", 18x"07cde", 18x"07c2a", 18x"07b76",
18x"07ac2", 18x"07a0e", 18x"0795a", 18x"078a8", 18x"077f4", 18x"07742", 18x"07690", 18x"075de",
18x"0752e", 18x"0747c", 18x"073cc", 18x"0731c", 18x"0726c", 18x"071bc", 18x"0710c", 18x"0705e",
18x"06fae", 18x"06f00", 18x"06e52", 18x"06da4", 18x"06cf6", 18x"06c4a", 18x"06b9c", 18x"06af0",
18x"06a44", 18x"06998", 18x"068ec", 18x"06840", 18x"06796", 18x"066ea", 18x"06640", 18x"06596",
18x"064ec", 18x"06442", 18x"0639a", 18x"062f0", 18x"06248", 18x"061a0", 18x"060f8", 18x"06050",
18x"05fa8", 18x"05f00", 18x"05e5a", 18x"05db4", 18x"05d0e", 18x"05c68", 18x"05bc2", 18x"05b1c",
18x"05a76", 18x"059d2", 18x"0592e", 18x"05888", 18x"057e4", 18x"05742", 18x"0569e", 18x"055fa",
18x"05558", 18x"054b6", 18x"05412", 18x"05370", 18x"052ce", 18x"0522e", 18x"0518c", 18x"050ec",
18x"0504a", 18x"04faa", 18x"04f0a", 18x"04e6a", 18x"04dca", 18x"04d2c", 18x"04c8c", 18x"04bee",
18x"04b50", 18x"04ab0", 18x"04a12", 18x"04976", 18x"048d8", 18x"0483a", 18x"0479e", 18x"04700",
18x"04664", 18x"045c8", 18x"0452c", 18x"04490", 18x"043f6", 18x"0435a", 18x"042c0", 18x"04226",
18x"0418a", 18x"040f0", 18x"04056", 18x"03fbe", 18x"03f24", 18x"03e8c", 18x"03df2", 18x"03d5a",
18x"03cc2", 18x"03c2a", 18x"03b92", 18x"03afa", 18x"03a62", 18x"039cc", 18x"03934", 18x"0389e",
18x"03808", 18x"03772", 18x"036dc", 18x"03646", 18x"035b2", 18x"0351c", 18x"03488", 18x"033f2",
18x"0335e", 18x"032ca", 18x"03236", 18x"031a2", 18x"03110", 18x"0307c", 18x"02fea", 18x"02f56",
18x"02ec4", 18x"02e32", 18x"02da0", 18x"02d0e", 18x"02c7c", 18x"02bec", 18x"02b5a", 18x"02aca",
18x"02a38", 18x"029a8", 18x"02918", 18x"02888", 18x"027f8", 18x"0276a", 18x"026da", 18x"0264a",
18x"025bc", 18x"0252e", 18x"024a0", 18x"02410", 18x"02384", 18x"022f6", 18x"02268", 18x"021da",
18x"0214e", 18x"020c0", 18x"02034", 18x"01fa8", 18x"01f1c", 18x"01e90", 18x"01e04", 18x"01d78",
18x"01cee", 18x"01c62", 18x"01bd8", 18x"01b4c", 18x"01ac2", 18x"01a38", 18x"019ae", 18x"01924",
18x"0189c", 18x"01812", 18x"01788", 18x"01700", 18x"01676", 18x"015ee", 18x"01566", 18x"014de",
18x"01456", 18x"013ce", 18x"01346", 18x"012c0", 18x"01238", 18x"011b2", 18x"0112c", 18x"010a4",
18x"0101e", 18x"00f98", 18x"00f12", 18x"00e8c", 18x"00e08", 18x"00d82", 18x"00cfe", 18x"00c78",
18x"00bf4", 18x"00b70", 18x"00aec", 18x"00a68", 18x"009e4", 18x"00960", 18x"008dc", 18x"00858",
18x"007d6", 18x"00752", 18x"006d0", 18x"0064e", 18x"005cc", 18x"0054a", 18x"004c8", 18x"00446",
18x"003c4", 18x"00342", 18x"002c2", 18x"00240", 18x"001c0", 18x"00140", 18x"000c0", 18x"00040"
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
);
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
-- Left and right shifter with 120 bit input and 64 bit output.
-- Shifts inp left by shift bits and returns the upper 64 bits of
-- the result. The shift parameter is interpreted as a signed
-- number in the range -64..63, with negative values indicating
-- right shifts.
function shifter_64(inp: std_ulogic_vector(119 downto 0);
shift: std_ulogic_vector(6 downto 0))
return std_ulogic_vector is
variable s1 : std_ulogic_vector(94 downto 0);
variable s2 : std_ulogic_vector(70 downto 0);
variable result : std_ulogic_vector(63 downto 0);
begin
case shift(6 downto 5) is
when "00" =>
s1 := inp(119 downto 25);
when "01" =>
s1 := inp(87 downto 0) & "0000000";
when "10" =>
s1 := x"0000000000000000" & inp(119 downto 89);
when others =>
s1 := x"00000000" & inp(119 downto 57);
end case;
case shift(4 downto 3) is
when "00" =>
s2 := s1(94 downto 24);
when "01" =>
s2 := s1(86 downto 16);
when "10" =>
s2 := s1(78 downto 8);
when others =>
s2 := s1(70 downto 0);
end case;
case shift(2 downto 0) is
when "000" =>
result := s2(70 downto 7);
when "001" =>
result := s2(69 downto 6);
when "010" =>
result := s2(68 downto 5);
when "011" =>
result := s2(67 downto 4);
when "100" =>
result := s2(66 downto 3);
when "101" =>
result := s2(65 downto 2);
when "110" =>
result := s2(64 downto 1);
when others =>
result := s2(63 downto 0);
end case;
return result;
end;
-- Generate a mask with 0-bits on the left and 1-bits on the right which
-- selects the bits will be lost in doing a right shift. The shift
-- parameter is the bottom 6 bits of a negative shift count,
-- indicating a right shift.
function right_mask(shift: unsigned(5 downto 0)) return std_ulogic_vector is
variable result: std_ulogic_vector(63 downto 0);
begin
result := (others => '0');
for i in 0 to 63 loop
if i >= shift then
result(63 - i) := '1';
end if;
end loop;
return result;
end;
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
-- Split a DP floating-point number into components and work out its class.
-- If is_int = 1, the input is considered an integer
function decode_dp(fpr: std_ulogic_vector(63 downto 0); is_int: std_ulogic) return fpu_reg_type is
variable r : fpu_reg_type;
variable exp_nz : std_ulogic;
variable exp_ao : std_ulogic;
variable frac_nz : std_ulogic;
variable cls : std_ulogic_vector(2 downto 0);
begin
r.negative := fpr(63);
exp_nz := or (fpr(62 downto 52));
exp_ao := and (fpr(62 downto 52));
frac_nz := or (fpr(51 downto 0));
if is_int = '0' then
r.exponent := signed(resize(unsigned(fpr(62 downto 52)), EXP_BITS)) - to_signed(1023, EXP_BITS);
if exp_nz = '0' then
r.exponent := to_signed(-1022, EXP_BITS);
end if;
r.mantissa := "000000000" & exp_nz & fpr(51 downto 0) & "00";
cls := exp_ao & exp_nz & frac_nz;
case cls is
when "000" => r.class := ZERO;
when "001" => r.class := FINITE; -- denormalized
when "010" => r.class := FINITE;
when "011" => r.class := FINITE;
when "110" => r.class := INFINITY;
when others => r.class := NAN;
end case;
else
r.mantissa := fpr;
r.exponent := (others => '0');
if (fpr(63) or exp_nz or frac_nz) = '1' then
r.class := FINITE;
else
r.class := ZERO;
end if;
end if;
return r;
end;
-- Construct a DP floating-point result from components
function pack_dp(sign: std_ulogic; class: fp_number_class; exp: signed(EXP_BITS-1 downto 0);
FPU: Implement the frsp instruction This brings in the invalid exception for the case of frsp with a signalling NaN as input, and the need to be able to convert a signalling NaN to a quiet NaN. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
mantissa: std_ulogic_vector; single_prec: std_ulogic; quieten_nan: std_ulogic)
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
return std_ulogic_vector is
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
variable result : std_ulogic_vector(63 downto 0);
begin
result := (others => '0');
result(63) := sign;
case class is
when ZERO =>
when FINITE =>
if mantissa(54) = '1' then
-- normalized number
result(62 downto 52) := std_ulogic_vector(resize(exp, 11) + 1023);
end if;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
result(51 downto 29) := mantissa(53 downto 31);
if single_prec = '0' then
result(28 downto 0) := mantissa(30 downto 2);
end if;
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
when INFINITY =>
result(62 downto 52) := "11111111111";
when NAN =>
result(62 downto 52) := "11111111111";
FPU: Implement the frsp instruction This brings in the invalid exception for the case of frsp with a signalling NaN as input, and the need to be able to convert a signalling NaN to a quiet NaN. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
result(51) := quieten_nan or mantissa(53);
result(50 downto 29) := mantissa(52 downto 31);
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
if single_prec = '0' then
result(28 downto 0) := mantissa(30 downto 2);
end if;
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
end case;
return result;
end;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
-- Determine whether to increment when rounding
-- Returns rounding_inc & inexact
-- Assumes x includes the bottom 29 bits of the mantissa already
-- if single_prec = 1 (usually arranged by setting set_x = 1 earlier).
function fp_rounding(mantissa: std_ulogic_vector(63 downto 0); x: std_ulogic;
single_prec: std_ulogic; rn: std_ulogic_vector(2 downto 0);
sign: std_ulogic)
return std_ulogic_vector is
variable grx : std_ulogic_vector(2 downto 0);
variable ret : std_ulogic_vector(1 downto 0);
variable lsb : std_ulogic;
begin
if single_prec = '0' then
grx := mantissa(1 downto 0) & x;
lsb := mantissa(2);
else
grx := mantissa(30 downto 29) & x;
lsb := mantissa(31);
end if;
ret(1) := '0';
ret(0) := or (grx);
case rn(1 downto 0) is
when "00" => -- round to nearest
if grx = "100" and rn(2) = '0' then
ret(1) := lsb; -- tie, round to even
else
ret(1) := grx(2);
end if;
when "01" => -- round towards zero
when others => -- round towards +/- inf
if rn(0) = sign then
-- round towards greater magnitude
ret(1) := ret(0);
end if;
end case;
return ret;
end;
-- Determine result flags to write into the FPSCR
function result_flags(sign: std_ulogic; class: fp_number_class; unitbit: std_ulogic)
return std_ulogic_vector is
begin
case class is
when ZERO =>
return sign & "0010";
when FINITE =>
return (not unitbit) & sign & (not sign) & "00";
when INFINITY =>
return '0' & sign & (not sign) & "01";
when NAN =>
return "10001";
end case;
end;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
begin
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
fpu_multiply_0: entity work.multiply
port map (
clk => clk,
m_in => f_to_multiply,
m_out => multiply_to_f
);
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
fpu_0: process(clk)
begin
if rising_edge(clk) then
if rst = '1' then
r.state <= IDLE;
r.busy <= '0';
r.instr_done <= '0';
r.do_intr <= '0';
r.fpscr <= (others => '0');
r.writing_back <= '0';
else
assert not (r.state /= IDLE and e_in.valid = '1') severity failure;
r <= rin;
end if;
end if;
end process;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- synchronous reads from lookup table
lut_access: process(clk)
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable addrhi : std_ulogic_vector(1 downto 0);
variable addr : std_ulogic_vector(9 downto 0);
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
begin
if rising_edge(clk) then
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.is_sqrt = '1' then
addrhi := r.b.mantissa(55 downto 54);
else
addrhi := "00";
end if;
addr := addrhi & r.b.mantissa(53 downto 46);
inverse_est <= '1' & inverse_table(to_integer(unsigned(addr)));
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
end process;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
e_out.busy <= r.busy;
e_out.exception <= r.fpscr(FPSCR_FEX);
w_out.valid <= r.instr_done and not r.do_intr;
core: Track GPR hazards using tags that propagate through the pipelines This changes the way GPR hazards are detected and tracked. Instead of having a model of the pipeline in gpr_hazard.vhdl, which has to mirror the behaviour of the real pipeline exactly, we now assign a 2-bit tag to each instruction and record which GSPR the instruction writes. Subsequent instructions that need to use the GSPR get the tag number and stall until the value with that tag is being written back to the register file. For now, the forwarding paths are disabled. That gives about a 8% reduction in coremark performance. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
w_out.instr_tag <= r.instr_tag;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
w_out.write_enable <= r.writing_back;
w_out.write_reg <= r.dest_fpr;
w_out.write_data <= fp_result;
FPU: Implement remaining FPSCR-related instructions This implements mcrfs, mtfsfi, mtfsb0/1, mffscr, mffscrn, mffscrni and mffsl. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
w_out.write_cr_enable <= r.instr_done and (r.rc or r.is_cmp);
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
w_out.write_cr_mask <= r.cr_mask;
w_out.write_cr_data <= r.cr_result & r.cr_result & r.cr_result & r.cr_result &
r.cr_result & r.cr_result & r.cr_result & r.cr_result;
core: Send FPU interrupts to writeback rather than execute1 Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
w_out.interrupt <= r.do_intr;
w_out.intr_vec <= 16#700#;
w_out.srr0 <= r.nia;
w_out.srr1 <= (47-44 => r.illegal, 47-43 => not r.illegal, others => '0');
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
fpu_1: process(all)
variable v : reg_type;
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
variable adec : fpu_reg_type;
variable bdec : fpu_reg_type;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable cdec : fpu_reg_type;
FPU: Implement remaining FPSCR-related instructions This implements mcrfs, mtfsfi, mtfsb0/1, mffscr, mffscrn, mffscrni and mffsl. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable fpscr_mask : std_ulogic_vector(31 downto 0);
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable illegal : std_ulogic;
variable j, k : integer;
variable flm : std_ulogic_vector(7 downto 0);
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
variable int_input : std_ulogic;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
variable mask : std_ulogic_vector(63 downto 0);
variable in_a0 : std_ulogic_vector(63 downto 0);
variable in_b0 : std_ulogic_vector(63 downto 0);
variable misc : std_ulogic_vector(63 downto 0);
variable shift_res : std_ulogic_vector(63 downto 0);
variable round : std_ulogic_vector(1 downto 0);
variable update_fx : std_ulogic;
variable arith_done : std_ulogic;
FPU: Implement the frsp instruction This brings in the invalid exception for the case of frsp with a signalling NaN as input, and the need to be able to convert a signalling NaN to a quiet NaN. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable invalid : std_ulogic;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable zero_divide : std_ulogic;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
variable mant_nz : std_ulogic;
variable min_exp : signed(EXP_BITS-1 downto 0);
variable max_exp : signed(EXP_BITS-1 downto 0);
variable bias_exp : signed(EXP_BITS-1 downto 0);
variable new_exp : signed(EXP_BITS-1 downto 0);
variable exp_tiny : std_ulogic;
variable exp_huge : std_ulogic;
variable renormalize : std_ulogic;
variable clz : std_ulogic_vector(5 downto 0);
variable set_x : std_ulogic;
variable mshift : signed(EXP_BITS-1 downto 0);
FPU: Implement floating convert to integer instructions This implements fctiw, fctiwz, fctiwu, fctiwuz, fctid, fctidz, fctidu and fctiduz, and adds tests for them. There are some subtleties around the setting of the inexact (XX) and invalid conversion (VXCVI) flags in the FPSCR. If the rounded value ends up being out of range, we need to set VXCVI and not XX. For a conversion to unsigned word or doubleword of a negative value that rounds to zero, we need to set XX and not VXCVI. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable need_check : std_ulogic;
variable msb : std_ulogic;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable is_add : std_ulogic;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable set_a : std_ulogic;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable set_b : std_ulogic;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable set_c : std_ulogic;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable set_y : std_ulogic;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable set_s : std_ulogic;
variable qnan_result : std_ulogic;
variable px_nz : std_ulogic;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable pcmpb_eq : std_ulogic;
variable pcmpb_lt : std_ulogic;
variable pshift : std_ulogic;
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable renorm_sqrt : std_ulogic;
variable sqrt_exp : signed(EXP_BITS-1 downto 0);
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable shiftin : std_ulogic;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable mulexp : signed(EXP_BITS-1 downto 0);
variable maddend : std_ulogic_vector(127 downto 0);
FPU: Do masking after adder rather than on A input The masking enabled by opsel_amask is only used when rounding, to trim the rounded result to the required precision. We now do the masking after the adder rather than before (on the A input). This gives the same result and helps timing. The path from r.shift through the mask generator and adder to v.r was showing up as a critical path. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable sum : std_ulogic_vector(63 downto 0);
FPU: Don't use mask generator for rounding Instead of using the mask generator in the rounding process, this uses simpler logic to add in a 1 at the appropriate position (bit 2 or bit 31, depending on precision) and mask off the low-order bits. Since there are only two positions at which the masking and incrementing need to be done, we don't need the full generality of the mask generator. This reduces the amount of logic and improves timing. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
variable round_inc : std_ulogic_vector(63 downto 0);
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
begin
v := r;
illegal := '0';
v.busy := '0';
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
int_input := '0';
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- capture incoming instruction
if e_in.valid = '1' then
v.insn := e_in.insn;
core: Send FPU interrupts to writeback rather than execute1 Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.nia := e_in.nia;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.op := e_in.op;
core: Track GPR hazards using tags that propagate through the pipelines This changes the way GPR hazards are detected and tracked. Instead of having a model of the pipeline in gpr_hazard.vhdl, which has to mirror the behaviour of the real pipeline exactly, we now assign a 2-bit tag to each instruction and record which GSPR the instruction writes. Subsequent instructions that need to use the GSPR get the tag number and stall until the value with that tag is being written back to the register file. For now, the forwarding paths are disabled. That gives about a 8% reduction in coremark performance. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.instr_tag := e_in.itag;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.fe_mode := or (e_in.fe_mode);
v.dest_fpr := e_in.frt;
v.single_prec := e_in.single;
FPU: Decide on mask length a cycle earlier This moves longmask into the reg_type record, meaning that it now needs to be decided a cycle earlier, in order to help timing. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.longmask := e_in.single;
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
v.int_result := '0';
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.rc := e_in.rc;
v.is_cmp := e_in.out_cr;
FPU: Implement remaining FPSCR-related instructions This implements mcrfs, mtfsfi, mtfsb0/1, mffscr, mffscrn, mffscrni and mffsl. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if e_in.out_cr = '0' then
v.cr_mask := num_to_fxm(1);
else
v.cr_mask := num_to_fxm(to_integer(unsigned(insn_bf(e_in.insn))));
end if;
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
int_input := '0';
if e_in.op = OP_FPOP_I then
int_input := '1';
end if;
FPU: Implement the frsp instruction This brings in the invalid exception for the case of frsp with a signalling NaN as input, and the need to be able to convert a signalling NaN to a quiet NaN. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.quieten_nan := '1';
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
v.tiny := '0';
v.denorm := '0';
v.round_mode := '0' & r.fpscr(FPSCR_RN+1 downto FPSCR_RN);
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.is_subtract := '0';
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.is_multiply := '0';
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.is_sqrt := '0';
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.add_bsmall := '0';
FPU: Implement ftdiv and ftsqrt Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.doing_ftdiv := "00";
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
adec := decode_dp(e_in.fra, int_input);
bdec := decode_dp(e_in.frb, int_input);
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
cdec := decode_dp(e_in.frc, int_input);
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
v.a := adec;
v.b := bdec;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.c := cdec;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.exp_cmp := '0';
if adec.exponent > bdec.exponent then
v.exp_cmp := '1';
end if;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.madd_cmp := '0';
if (adec.exponent + cdec.exponent + 1) >= bdec.exponent then
v.madd_cmp := '1';
end if;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
r_hi_nz <= or (r.r(55 downto 31));
r_lo_nz <= or (r.r(30 downto 2));
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
s_nz <= or (r.s);
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
if r.single_prec = '0' then
FPU: Implement ftdiv and ftsqrt Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.doing_ftdiv(1) = '0' then
max_exp := to_signed(1023, EXP_BITS);
else
max_exp := to_signed(1020, EXP_BITS);
end if;
if r.doing_ftdiv(0) = '0' then
min_exp := to_signed(-1022, EXP_BITS);
else
min_exp := to_signed(-1021, EXP_BITS);
end if;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
bias_exp := to_signed(1536, EXP_BITS);
else
max_exp := to_signed(127, EXP_BITS);
min_exp := to_signed(-126, EXP_BITS);
bias_exp := to_signed(192, EXP_BITS);
end if;
new_exp := r.result_exp - r.shift;
exp_tiny := '0';
exp_huge := '0';
if new_exp < min_exp then
exp_tiny := '1';
end if;
if new_exp > max_exp then
exp_huge := '1';
end if;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- Compare P with zero and with B
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
px_nz := or (r.p(57 downto 4));
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
pcmpb_eq := '0';
if r.p(59 downto 4) = r.b.mantissa(55 downto 0) then
pcmpb_eq := '1';
end if;
pcmpb_lt := '0';
if unsigned(r.p(59 downto 4)) < unsigned(r.b.mantissa(55 downto 0)) then
pcmpb_lt := '1';
end if;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.writing_back := '0';
v.instr_done := '0';
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
v.update_fprf := '0';
v.shift := to_signed(0, EXP_BITS);
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.first := '0';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_R;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
opsel_ainv <= '0';
FPU: Do masking after adder rather than on A input The masking enabled by opsel_amask is only used when rounding, to trim the rounded result to the required precision. We now do the masking after the adder rather than before (on the A input). This gives the same result and helps timing. The path from r.shift through the mask generator and adder to v.r was showing up as a critical path. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
opsel_mask <= '0';
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
opsel_b <= BIN_ZERO;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
opsel_binv <= '0';
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
opsel_r <= RES_SUM;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
opsel_s <= S_ZERO;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
carry_in <= '0';
misc_sel <= "0000";
FPU: Implement remaining FPSCR-related instructions This implements mcrfs, mtfsfi, mtfsb0/1, mffscr, mffscrn, mffscrni and mffsl. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
fpscr_mask := (others => '1');
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
update_fx := '0';
arith_done := '0';
FPU: Implement the frsp instruction This brings in the invalid exception for the case of frsp with a signalling NaN as input, and the need to be able to convert a signalling NaN to a quiet NaN. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
invalid := '0';
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
zero_divide := '0';
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
renormalize := '0';
set_x := '0';
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
qnan_result := '0';
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
set_a := '0';
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
set_b := '0';
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
set_c := '0';
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
set_s := '0';
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
f_to_multiply.is_32bit <= '0';
f_to_multiply.valid <= '0';
msel_1 <= MUL1_A;
msel_2 <= MUL2_C;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
msel_add <= MULADD_ZERO;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
msel_inv <= '0';
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
set_y := '0';
pshift := '0';
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
renorm_sqrt := '0';
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
shiftin := '0';
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
case r.state is
when IDLE =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.use_a := '0';
v.use_b := '0';
v.use_c := '0';
v.invalid := '0';
v.negate := '0';
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if e_in.valid = '1' then
case e_in.insn(5 downto 1) is
FPU: Implement remaining FPSCR-related instructions This implements mcrfs, mtfsfi, mtfsb0/1, mffscr, mffscrn, mffscrni and mffsl. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "00000" =>
FPU: Implement ftdiv and ftsqrt Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if e_in.insn(8) = '1' then
if e_in.insn(6) = '0' then
v.state := DO_FTDIV;
else
v.state := DO_FTSQRT;
end if;
elsif e_in.insn(7) = '1' then
FPU: Implement fcmpu and fcmpo Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := DO_MCRFS;
else
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
FPU: Implement fcmpu and fcmpo Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := DO_FCMP;
end if;
FPU: Implement remaining FPSCR-related instructions This implements mcrfs, mtfsfi, mtfsb0/1, mffscr, mffscrn, mffscrni and mffsl. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "00110" =>
FPU: Implement fmrgew and fmrgow and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if e_in.insn(10) = '0' then
if e_in.insn(8) = '0' then
v.state := DO_MTFSB;
else
v.state := DO_MTFSFI;
end if;
FPU: Implement remaining FPSCR-related instructions This implements mcrfs, mtfsfi, mtfsb0/1, mffscr, mffscrn, mffscrni and mffsl. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
else
FPU: Implement fmrgew and fmrgow and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := DO_FMRG;
FPU: Implement remaining FPSCR-related instructions This implements mcrfs, mtfsfi, mtfsb0/1, mffscr, mffscrn, mffscrni and mffsl. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "00111" =>
if e_in.insn(8) = '0' then
v.state := DO_MFFS;
else
v.state := DO_MTFSF;
end if;
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
when "01000" =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
FPU: Implement floating round-to-integer instructions This implements frin, friz, frip and frim, and adds tests for them. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if e_in.insn(9 downto 8) /= "11" then
v.state := DO_FMR;
else
v.state := DO_FRI;
end if;
FPU: Implement the frsp instruction This brings in the invalid exception for the case of frsp with a signalling NaN as input, and the need to be able to convert a signalling NaN to a quiet NaN. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "01100" =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
FPU: Implement the frsp instruction This brings in the invalid exception for the case of frsp with a signalling NaN as input, and the need to be able to convert a signalling NaN to a quiet NaN. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := DO_FRSP;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
when "01110" =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
FPU: Implement floating convert to integer instructions This implements fctiw, fctiwz, fctiwu, fctiwuz, fctid, fctidz, fctidu and fctiduz, and adds tests for them. There are some subtleties around the setting of the inexact (XX) and invalid conversion (VXCVI) flags in the FPSCR. If the rounded value ends up being out of range, we need to set VXCVI and not XX. For a conversion to unsigned word or doubleword of a negative value that rounds to zero, we need to set XX and not VXCVI. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if int_input = '1' then
-- fcfid[u][s]
v.state := DO_FCFID;
else
v.state := DO_FCTI;
end if;
when "01111" =>
v.round_mode := "001";
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
FPU: Implement floating convert to integer instructions This implements fctiw, fctiwz, fctiwu, fctiwuz, fctid, fctidz, fctidu and fctiduz, and adds tests for them. There are some subtleties around the setting of the inexact (XX) and invalid conversion (VXCVI) flags in the FPSCR. If the rounded value ends up being out of range, we need to set VXCVI and not XX. For a conversion to unsigned word or doubleword of a negative value that rounds to zero, we need to set XX and not VXCVI. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := DO_FCTI;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "10010" =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_A;
if v.b.mantissa(54) = '0' and v.a.mantissa(54) = '1' then
v.opsel_a := AIN_B;
end if;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := DO_FDIV;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "10100" | "10101" =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_A;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := DO_FADD;
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "10110" =>
v.is_sqrt := '1';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := DO_FSQRT;
FPU: Implement fsel Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "10111" =>
v.state := DO_FSEL;
FPU: Implement fre[s] This just returns the value from the inverse lookup table. The result is accurate to better than one part in 512 (the architecture requires 1/256). This also adds a simple test, which relies on the particular values in the inverse lookup table, so it is not a general test. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "11000" =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
FPU: Implement fre[s] This just returns the value from the inverse lookup table. The result is accurate to better than one part in 512 (the architecture requires 1/256). This also adds a simple test, which relies on the particular values in the inverse lookup table, so it is not a general test. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := DO_FRE;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "11001" =>
v.is_multiply := '1';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_A;
if v.c.mantissa(54) = '0' and v.a.mantissa(54) = '1' then
v.opsel_a := AIN_C;
end if;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := DO_FMUL;
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "11010" =>
v.is_sqrt := '1';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := DO_FRSQRTE;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "11100" | "11101" | "11110" | "11111" =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if v.a.mantissa(54) = '0' then
v.opsel_a := AIN_A;
elsif v.c.mantissa(54) = '0' then
v.opsel_a := AIN_C;
else
v.opsel_a := AIN_B;
end if;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := DO_FMADD;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when others =>
illegal := '1';
end case;
end if;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
v.x := '0';
v.old_exc := r.fpscr(FPSCR_VX downto FPSCR_XX);
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
set_s := '1';
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
FPU: Implement remaining FPSCR-related instructions This implements mcrfs, mtfsfi, mtfsb0/1, mffscr, mffscrn, mffscrni and mffsl. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_MCRFS =>
j := to_integer(unsigned(insn_bfa(r.insn)));
for i in 0 to 7 loop
if i = j then
k := (7 - i) * 4;
v.cr_result := r.fpscr(k + 3 downto k);
fpscr_mask(k + 3 downto k) := "0000";
end if;
end loop;
v.fpscr := r.fpscr and (fpscr_mask or x"6007F8FF");
v.instr_done := '1';
v.state := IDLE;
FPU: Implement ftdiv and ftsqrt Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_FTDIV =>
v.instr_done := '1';
v.state := IDLE;
v.cr_result := "0000";
if r.a.class = INFINITY or r.b.class = ZERO or r.b.class = INFINITY or
(r.b.class = FINITE and r.b.mantissa(53) = '0') then
v.cr_result(2) := '1';
end if;
if r.a.class = NAN or r.a.class = INFINITY or
r.b.class = NAN or r.b.class = ZERO or r.b.class = INFINITY or
(r.a.class = FINITE and r.a.exponent <= to_signed(-970, EXP_BITS)) then
v.cr_result(1) := '1';
else
v.doing_ftdiv := "11";
v.first := '1';
v.state := FTDIV_1;
v.instr_done := '0';
end if;
when DO_FTSQRT =>
v.instr_done := '1';
v.state := IDLE;
v.cr_result := "0000";
if r.b.class = ZERO or r.b.class = INFINITY or
(r.b.class = FINITE and r.b.mantissa(53) = '0') then
v.cr_result(2) := '1';
end if;
if r.b.class = NAN or r.b.class = INFINITY or r.b.class = ZERO
or r.b.negative = '1' or r.b.exponent <= to_signed(-970, EXP_BITS) then
v.cr_result(1) := '0';
end if;
FPU: Implement fcmpu and fcmpo Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_FCMP =>
-- fcmp[uo]
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_B
FPU: Implement fcmpu and fcmpo Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.instr_done := '1';
v.state := IDLE;
update_fx := '1';
v.result_exp := r.b.exponent;
if (r.a.class = NAN and r.a.mantissa(53) = '0') or
(r.b.class = NAN and r.b.mantissa(53) = '0') then
-- Signalling NAN
v.fpscr(FPSCR_VXSNAN) := '1';
if r.insn(6) = '1' and r.fpscr(FPSCR_VE) = '0' then
v.fpscr(FPSCR_VXVC) := '1';
end if;
invalid := '1';
v.cr_result := "0001"; -- unordered
elsif r.a.class = NAN or r.b.class = NAN then
if r.insn(6) = '1' then
-- fcmpo
v.fpscr(FPSCR_VXVC) := '1';
invalid := '1';
end if;
v.cr_result := "0001"; -- unordered
elsif r.a.class = ZERO and r.b.class = ZERO then
v.cr_result := "0010"; -- equal
elsif r.a.negative /= r.b.negative then
v.cr_result := r.a.negative & r.b.negative & "00";
elsif r.a.class = ZERO then
-- A and B are the same sign from here down
v.cr_result := not r.b.negative & r.b.negative & "00";
elsif r.a.class = INFINITY then
if r.b.class = INFINITY then
v.cr_result := "0010";
else
v.cr_result := r.a.negative & not r.a.negative & "00";
end if;
elsif r.b.class = ZERO then
-- A is finite from here down
v.cr_result := r.a.negative & not r.a.negative & "00";
elsif r.b.class = INFINITY then
v.cr_result := not r.b.negative & r.b.negative & "00";
elsif r.exp_cmp = '1' then
-- A and B are both finite from here down
v.cr_result := r.a.negative & not r.a.negative & "00";
elsif r.a.exponent /= r.b.exponent then
-- A exponent is smaller than B
v.cr_result := not r.a.negative & r.a.negative & "00";
else
-- Prepare to subtract mantissas, put B in R
v.cr_result := "0000";
v.instr_done := '0';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_A;
FPU: Implement fcmpu and fcmpo Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := CMP_1;
end if;
v.fpscr(FPSCR_FL downto FPSCR_FU) := v.cr_result;
FPU: Implement remaining FPSCR-related instructions This implements mcrfs, mtfsfi, mtfsb0/1, mffscr, mffscrn, mffscrni and mffsl. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_MTFSB =>
-- mtfsb{0,1}
j := to_integer(unsigned(insn_bt(r.insn)));
for i in 0 to 31 loop
if i = j then
v.fpscr(31 - i) := r.insn(6);
end if;
end loop;
v.instr_done := '1';
v.state := IDLE;
when DO_MTFSFI =>
-- mtfsfi
j := to_integer(unsigned(insn_bf(r.insn)));
if r.insn(16) = '0' then
for i in 0 to 7 loop
if i = j then
k := (7 - i) * 4;
v.fpscr(k + 3 downto k) := insn_u(r.insn);
end if;
end loop;
end if;
v.instr_done := '1';
v.state := IDLE;
FPU: Implement fmrgew and fmrgow and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_FMRG =>
-- fmrgew, fmrgow
opsel_r <= RES_MISC;
misc_sel <= "01" & r.insn(8) & '0';
v.int_result := '1';
v.writing_back := '1';
v.instr_done := '1';
v.state := IDLE;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_MFFS =>
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
v.int_result := '1';
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.writing_back := '1';
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
opsel_r <= RES_MISC;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
case r.insn(20 downto 16) is
when "00000" =>
-- mffs
FPU: Implement remaining FPSCR-related instructions This implements mcrfs, mtfsfi, mtfsb0/1, mffscr, mffscrn, mffscrni and mffsl. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "00001" =>
-- mffsce
v.fpscr(FPSCR_VE downto FPSCR_XE) := "00000";
when "10100" | "10101" =>
-- mffscdrn[i] (but we don't implement DRN)
fpscr_mask := x"000000FF";
when "10110" =>
-- mffscrn
fpscr_mask := x"000000FF";
v.fpscr(FPSCR_RN+1 downto FPSCR_RN) :=
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
r.b.mantissa(FPSCR_RN+1 downto FPSCR_RN);
FPU: Implement remaining FPSCR-related instructions This implements mcrfs, mtfsfi, mtfsb0/1, mffscr, mffscrn, mffscrni and mffsl. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "10111" =>
-- mffscrni
fpscr_mask := x"000000FF";
v.fpscr(FPSCR_RN+1 downto FPSCR_RN) := r.insn(12 downto 11);
when "11000" =>
-- mffsl
fpscr_mask := x"0007F0FF";
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when others =>
illegal := '1';
end case;
v.instr_done := '1';
v.state := IDLE;
when DO_MTFSF =>
if r.insn(25) = '1' then
flm := x"FF";
elsif r.insn(16) = '1' then
flm := x"00";
else
flm := r.insn(24 downto 17);
end if;
for i in 0 to 7 loop
k := i * 4;
if flm(i) = '1' then
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
v.fpscr(k + 3 downto k) := r.b.mantissa(k + 3 downto k);
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
end loop;
v.instr_done := '1';
v.state := IDLE;
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
when DO_FMR =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_B
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
v.result_class := r.b.class;
v.result_exp := r.b.exponent;
FPU: Implement the frsp instruction This brings in the invalid exception for the case of frsp with a signalling NaN as input, and the need to be able to convert a signalling NaN to a quiet NaN. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.quieten_nan := '0';
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
if r.insn(9) = '1' then
v.result_sign := '0'; -- fabs
elsif r.insn(8) = '1' then
v.result_sign := '1'; -- fnabs
elsif r.insn(7) = '1' then
v.result_sign := r.b.negative; -- fmr
elsif r.insn(6) = '1' then
v.result_sign := not r.b.negative; -- fneg
else
v.result_sign := r.a.negative; -- fcpsgn
end if;
v.writing_back := '1';
v.instr_done := '1';
v.state := IDLE;
FPU: Implement floating round-to-integer instructions This implements frin, friz, frip and frim, and adds tests for them. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_FRI => -- fri[nzpm]
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_B
FPU: Implement floating round-to-integer instructions This implements frin, friz, frip and frim, and adds tests for them. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.result_class := r.b.class;
v.result_sign := r.b.negative;
v.result_exp := r.b.exponent;
v.fpscr(FPSCR_FR) := '0';
v.fpscr(FPSCR_FI) := '0';
if r.b.class = NAN and r.b.mantissa(53) = '0' then
-- Signalling NAN
v.fpscr(FPSCR_VXSNAN) := '1';
invalid := '1';
end if;
if r.b.class = FINITE then
if r.b.exponent >= to_signed(52, EXP_BITS) then
-- integer already, no rounding required
arith_done := '1';
else
v.shift := r.b.exponent - to_signed(52, EXP_BITS);
v.state := FRI_1;
v.round_mode := '1' & r.insn(7 downto 6);
end if;
else
arith_done := '1';
end if;
FPU: Implement the frsp instruction This brings in the invalid exception for the case of frsp with a signalling NaN as input, and the need to be able to convert a signalling NaN to a quiet NaN. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_FRSP =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_B, r.shift = 0
FPU: Implement the frsp instruction This brings in the invalid exception for the case of frsp with a signalling NaN as input, and the need to be able to convert a signalling NaN to a quiet NaN. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.result_class := r.b.class;
v.result_sign := r.b.negative;
v.result_exp := r.b.exponent;
v.fpscr(FPSCR_FR) := '0';
v.fpscr(FPSCR_FI) := '0';
if r.b.class = NAN and r.b.mantissa(53) = '0' then
-- Signalling NAN
v.fpscr(FPSCR_VXSNAN) := '1';
invalid := '1';
end if;
set_x := '1';
if r.b.class = FINITE then
if r.b.exponent < to_signed(-126, EXP_BITS) then
v.shift := r.b.exponent - to_signed(-126, EXP_BITS);
v.state := ROUND_UFLOW;
elsif r.b.exponent > to_signed(127, EXP_BITS) then
v.state := ROUND_OFLOW;
else
v.state := ROUNDING;
end if;
else
arith_done := '1';
end if;
FPU: Implement floating convert to integer instructions This implements fctiw, fctiwz, fctiwu, fctiwuz, fctid, fctidz, fctidu and fctiduz, and adds tests for them. There are some subtleties around the setting of the inexact (XX) and invalid conversion (VXCVI) flags in the FPSCR. If the rounded value ends up being out of range, we need to set VXCVI and not XX. For a conversion to unsigned word or doubleword of a negative value that rounds to zero, we need to set XX and not VXCVI. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_FCTI =>
-- instr bit 9: 1=dword 0=word
-- instr bit 8: 1=unsigned 0=signed
-- instr bit 1: 1=round to zero 0=use fpscr[RN]
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_B
FPU: Implement floating convert to integer instructions This implements fctiw, fctiwz, fctiwu, fctiwuz, fctid, fctidz, fctidu and fctiduz, and adds tests for them. There are some subtleties around the setting of the inexact (XX) and invalid conversion (VXCVI) flags in the FPSCR. If the rounded value ends up being out of range, we need to set VXCVI and not XX. For a conversion to unsigned word or doubleword of a negative value that rounds to zero, we need to set XX and not VXCVI. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.result_class := r.b.class;
v.result_sign := r.b.negative;
v.result_exp := r.b.exponent;
v.fpscr(FPSCR_FR) := '0';
v.fpscr(FPSCR_FI) := '0';
if r.b.class = NAN and r.b.mantissa(53) = '0' then
-- Signalling NAN
v.fpscr(FPSCR_VXSNAN) := '1';
invalid := '1';
end if;
v.int_result := '1';
case r.b.class is
when ZERO =>
arith_done := '1';
when FINITE =>
if r.b.exponent >= to_signed(64, EXP_BITS) or
(r.insn(9) = '0' and r.b.exponent >= to_signed(32, EXP_BITS)) then
v.state := INT_OFLOW;
elsif r.b.exponent >= to_signed(52, EXP_BITS) then
-- integer already, no rounding required,
-- shift into final position
v.shift := r.b.exponent - to_signed(54, EXP_BITS);
if r.insn(8) = '1' and r.b.negative = '1' then
v.state := INT_OFLOW;
else
v.state := INT_ISHIFT;
end if;
else
v.shift := r.b.exponent - to_signed(52, EXP_BITS);
v.state := INT_SHIFT;
end if;
when INFINITY | NAN =>
v.state := INT_OFLOW;
end case;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
when DO_FCFID =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_B
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
v.result_sign := '0';
if r.insn(8) = '0' and r.b.negative = '1' then
-- fcfid[s] with negative operand, set R = -B
opsel_ainv <= '1';
carry_in <= '1';
v.result_sign := '1';
end if;
v.result_class := r.b.class;
v.result_exp := to_signed(54, EXP_BITS);
v.fpscr(FPSCR_FR) := '0';
v.fpscr(FPSCR_FI) := '0';
if r.b.class = ZERO then
arith_done := '1';
else
v.state := FINISH;
end if;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_FADD =>
-- fadd[s] and fsub[s]
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_A
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.result_sign := r.a.negative;
v.result_class := r.a.class;
v.result_exp := r.a.exponent;
v.fpscr(FPSCR_FR) := '0';
v.fpscr(FPSCR_FI) := '0';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.use_a := '1';
v.use_b := '1';
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
is_add := r.a.negative xor r.b.negative xor r.insn(1);
if r.a.class = FINITE and r.b.class = FINITE then
v.is_subtract := not is_add;
v.add_bsmall := r.exp_cmp;
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.exp_cmp = '0' then
v.shift := r.a.exponent - r.b.exponent;
v.result_sign := r.b.negative xnor r.insn(1);
if r.a.exponent = r.b.exponent then
v.state := ADD_2;
else
FPU: Decide on mask length a cycle earlier This moves longmask into the reg_type record, meaning that it now needs to be decided a cycle earlier, in order to help timing. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.longmask := '0';
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := ADD_SHIFT;
end if;
else
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := ADD_1;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
else
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.a.class = NAN or r.b.class = NAN then
v.state := NAN_RESULT;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
elsif r.a.class = INFINITY and r.b.class = INFINITY and is_add = '0' then
-- invalid operation, construct QNaN
v.fpscr(FPSCR_VXISI) := '1';
qnan_result := '1';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
arith_done := '1';
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
elsif r.a.class = ZERO and r.b.class = ZERO and is_add = '0' then
-- return -0 for rounding to -infinity
v.result_sign := r.round_mode(1) and r.round_mode(0);
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
arith_done := '1';
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
elsif r.a.class = INFINITY or r.b.class = ZERO then
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- result is A
v.opsel_a := AIN_A;
v.state := EXC_RESULT;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
else
-- result is +/- B
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
v.negate := not r.insn(1);
v.state := EXC_RESULT;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
end if;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_FMUL =>
-- fmul[s]
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_A unless C is denorm and A isn't
v.result_sign := r.a.negative xor r.c.negative;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.result_class := r.a.class;
v.fpscr(FPSCR_FR) := '0';
v.fpscr(FPSCR_FI) := '0';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.use_a := '1';
v.use_c := '1';
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.a.class = FINITE and r.c.class = FINITE then
v.result_exp := r.a.exponent + r.c.exponent;
-- Renormalize denorm operands
if r.a.mantissa(54) = '0' then
v.state := RENORM_A;
elsif r.c.mantissa(54) = '0' then
v.state := RENORM_C;
else
f_to_multiply.valid <= '1';
v.state := MULT_1;
end if;
else
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.a.class = NAN or r.c.class = NAN then
v.state := NAN_RESULT;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
elsif (r.a.class = INFINITY and r.c.class = ZERO) or
(r.a.class = ZERO and r.c.class = INFINITY) then
-- invalid operation, construct QNaN
v.fpscr(FPSCR_VXIMZ) := '1';
qnan_result := '1';
elsif r.a.class = ZERO or r.a.class = INFINITY then
-- result is +/- A
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
arith_done := '1';
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
else
-- r.c.class is ZERO or INFINITY
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_C;
v.negate := r.a.negative;
v.state := EXC_RESULT;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
end if;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_FDIV =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_A unless B is denorm and A isn't
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.result_class := r.a.class;
v.fpscr(FPSCR_FR) := '0';
v.fpscr(FPSCR_FI) := '0';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.use_a := '1';
v.use_b := '1';
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.result_sign := r.a.negative xor r.b.negative;
v.result_exp := r.a.exponent - r.b.exponent;
v.count := "00";
if r.a.class = FINITE and r.b.class = FINITE then
-- Renormalize denorm operands
if r.a.mantissa(54) = '0' then
v.state := RENORM_A;
elsif r.b.mantissa(54) = '0' then
v.state := RENORM_B;
else
v.first := '1';
v.state := DIV_2;
end if;
else
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.a.class = NAN or r.b.class = NAN then
v.state := NAN_RESULT;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
elsif r.b.class = INFINITY then
if r.a.class = INFINITY then
v.fpscr(FPSCR_VXIDI) := '1';
qnan_result := '1';
else
v.result_class := ZERO;
end if;
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
arith_done := '1';
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
elsif r.b.class = ZERO then
if r.a.class = ZERO then
v.fpscr(FPSCR_VXZDZ) := '1';
qnan_result := '1';
else
if r.a.class = FINITE then
zero_divide := '1';
end if;
v.result_class := INFINITY;
end if;
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
arith_done := '1';
else -- r.b.class = FINITE, result_class = r.a.class
arith_done := '1';
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
end if;
FPU: Implement fsel Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_FSEL =>
v.fpscr(FPSCR_FR) := '0';
v.fpscr(FPSCR_FI) := '0';
if r.a.class = ZERO or (r.a.negative = '0' and r.a.class /= NAN) then
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_C;
FPU: Implement fsel Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
else
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
FPU: Implement fsel Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
v.quieten_nan := '0';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := EXC_RESULT;
FPU: Implement fsel Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_FSQRT =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_B
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.result_class := r.b.class;
v.result_sign := r.b.negative;
v.fpscr(FPSCR_FR) := '0';
v.fpscr(FPSCR_FI) := '0';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.use_b := '1';
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
case r.b.class is
when FINITE =>
v.result_exp := r.b.exponent;
if r.b.negative = '1' then
v.fpscr(FPSCR_VXSQRT) := '1';
qnan_result := '1';
elsif r.b.mantissa(54) = '0' then
v.state := RENORM_B;
elsif r.b.exponent(0) = '0' then
v.state := SQRT_1;
else
v.shift := to_signed(1, EXP_BITS);
v.state := RENORM_B2;
end if;
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when NAN =>
v.state := NAN_RESULT;
when ZERO =>
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- result is B
arith_done := '1';
when INFINITY =>
if r.b.negative = '1' then
v.fpscr(FPSCR_VXSQRT) := '1';
qnan_result := '1';
-- else result is B
end if;
arith_done := '1';
end case;
FPU: Implement fre[s] This just returns the value from the inverse lookup table. The result is accurate to better than one part in 512 (the architecture requires 1/256). This also adds a simple test, which relies on the particular values in the inverse lookup table, so it is not a general test. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_FRE =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_B
FPU: Implement fre[s] This just returns the value from the inverse lookup table. The result is accurate to better than one part in 512 (the architecture requires 1/256). This also adds a simple test, which relies on the particular values in the inverse lookup table, so it is not a general test. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.result_class := r.b.class;
v.result_sign := r.b.negative;
v.fpscr(FPSCR_FR) := '0';
v.fpscr(FPSCR_FI) := '0';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.use_b := '1';
FPU: Implement fre[s] This just returns the value from the inverse lookup table. The result is accurate to better than one part in 512 (the architecture requires 1/256). This also adds a simple test, which relies on the particular values in the inverse lookup table, so it is not a general test. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
case r.b.class is
when FINITE =>
v.result_exp := - r.b.exponent;
if r.b.mantissa(54) = '0' then
v.state := RENORM_B;
else
v.state := FRE_1;
end if;
when NAN =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := NAN_RESULT;
FPU: Implement fre[s] This just returns the value from the inverse lookup table. The result is accurate to better than one part in 512 (the architecture requires 1/256). This also adds a simple test, which relies on the particular values in the inverse lookup table, so it is not a general test. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when INFINITY =>
v.result_class := ZERO;
arith_done := '1';
when ZERO =>
v.result_class := INFINITY;
zero_divide := '1';
arith_done := '1';
end case;
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_FRSQRTE =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_B
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.result_class := r.b.class;
v.result_sign := r.b.negative;
v.fpscr(FPSCR_FR) := '0';
v.fpscr(FPSCR_FI) := '0';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.use_b := '1';
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.shift := to_signed(1, EXP_BITS);
case r.b.class is
when FINITE =>
v.result_exp := r.b.exponent;
if r.b.negative = '1' then
v.fpscr(FPSCR_VXSQRT) := '1';
qnan_result := '1';
elsif r.b.mantissa(54) = '0' then
v.state := RENORM_B;
elsif r.b.exponent(0) = '0' then
v.state := RSQRT_1;
else
v.state := RENORM_B2;
end if;
when NAN =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := NAN_RESULT;
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when INFINITY =>
if r.b.negative = '1' then
v.fpscr(FPSCR_VXSQRT) := '1';
qnan_result := '1';
else
v.result_class := ZERO;
end if;
arith_done := '1';
when ZERO =>
v.result_class := INFINITY;
zero_divide := '1';
arith_done := '1';
end case;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DO_FMADD =>
-- fmadd, fmsub, fnmadd, fnmsub
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_A if A is denorm, else AIN_C if C is denorm,
-- else AIN_B
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.result_sign := r.a.negative;
v.result_class := r.a.class;
v.result_exp := r.a.exponent;
v.fpscr(FPSCR_FR) := '0';
v.fpscr(FPSCR_FI) := '0';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.use_a := '1';
v.use_b := '1';
v.use_c := '1';
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
is_add := r.a.negative xor r.c.negative xor r.b.negative xor r.insn(1);
if r.a.class = FINITE and r.c.class = FINITE and
(r.b.class = FINITE or r.b.class = ZERO) then
v.is_subtract := not is_add;
mulexp := r.a.exponent + r.c.exponent;
v.result_exp := mulexp;
-- Make sure A and C are normalized
if r.a.mantissa(54) = '0' then
v.state := RENORM_A;
elsif r.c.mantissa(54) = '0' then
v.state := RENORM_C;
elsif r.b.class = ZERO then
-- no addend, degenerates to multiply
v.result_sign := r.a.negative xor r.c.negative xor r.insn(2);
f_to_multiply.valid <= '1';
v.is_multiply := '1';
v.state := MULT_1;
elsif r.madd_cmp = '0' then
-- addend is bigger, do multiply first
v.result_sign := not (r.b.negative xor r.insn(1) xor r.insn(2));
f_to_multiply.valid <= '1';
v.state := FMADD_1;
else
-- product is bigger, shift B right and use it as the
-- addend to the multiplier
v.shift := r.b.exponent - mulexp + to_signed(64, EXP_BITS);
-- for subtract, multiplier does B - A * C
v.result_sign := not (r.a.negative xor r.c.negative xor r.insn(2) xor is_add);
v.result_exp := r.b.exponent;
v.state := FMADD_2;
end if;
else
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.a.class = NAN or r.b.class = NAN or r.c.class = NAN then
v.state := NAN_RESULT;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
elsif (r.a.class = ZERO and r.c.class = INFINITY) or
(r.a.class = INFINITY and r.c.class = ZERO) then
-- invalid operation, construct QNaN
v.fpscr(FPSCR_VXIMZ) := '1';
qnan_result := '1';
elsif r.a.class = INFINITY or r.c.class = INFINITY then
if r.b.class = INFINITY and is_add = '0' then
-- invalid operation, construct QNaN
v.fpscr(FPSCR_VXISI) := '1';
qnan_result := '1';
else
-- result is infinity
v.result_class := INFINITY;
v.result_sign := r.a.negative xor r.c.negative xor r.insn(2);
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
arith_done := '1';
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
else
-- Here A is zero, C is zero, or B is infinity
-- Result is +/-B in all of those cases
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
if r.b.class /= ZERO or is_add = '1' then
v.negate := not (r.insn(1) xor r.insn(2));
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
else
-- have to be careful about rule for 0 - 0 result sign
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.negate := r.b.negative xor (r.round_mode(1) and r.round_mode(0)) xor r.insn(2);
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := EXC_RESULT;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
end if;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when RENORM_A =>
renormalize := '1';
v.state := RENORM_A2;
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.insn(4) = '1' then
v.opsel_a := AIN_C;
else
v.opsel_a := AIN_B;
end if;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when RENORM_A2 =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_C for fmul/fmadd, AIN_B for fdiv
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
set_a := '1';
v.result_exp := new_exp;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.insn(4) = '1' then
if r.c.mantissa(54) = '1' then
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.insn(3) = '0' or r.b.class = ZERO then
v.first := '1';
v.state := MULT_1;
else
v.madd_cmp := '0';
if new_exp + 1 >= r.b.exponent then
v.madd_cmp := '1';
end if;
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := DO_FMADD;
end if;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
else
v.state := RENORM_C;
end if;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
else
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.b.mantissa(54) = '1' then
v.first := '1';
v.state := DIV_2;
else
v.state := RENORM_B;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when RENORM_B =>
renormalize := '1';
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
renorm_sqrt := r.is_sqrt;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := RENORM_B2;
when RENORM_B2 =>
set_b := '1';
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.is_sqrt = '0' then
v.result_exp := r.result_exp + r.shift;
else
v.result_exp := new_exp;
end if;
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := LOOKUP;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when RENORM_C =>
renormalize := '1';
v.state := RENORM_C2;
when RENORM_C2 =>
set_c := '1';
v.result_exp := new_exp;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.insn(3) = '0' or r.b.class = ZERO then
v.first := '1';
v.state := MULT_1;
else
v.madd_cmp := '0';
if new_exp + 1 >= r.b.exponent then
v.madd_cmp := '1';
end if;
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := DO_FMADD;
end if;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when ADD_1 =>
-- transferring B to R
v.shift := r.b.exponent - r.a.exponent;
v.result_exp := r.b.exponent;
FPU: Decide on mask length a cycle earlier This moves longmask into the reg_type record, meaning that it now needs to be decided a cycle earlier, in order to help timing. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.longmask := '0';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := ADD_SHIFT;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when ADD_SHIFT =>
FPU: Decide on mask length a cycle earlier This moves longmask into the reg_type record, meaning that it now needs to be decided a cycle earlier, in order to help timing. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = - exponent difference, r.longmask = 0
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
opsel_r <= RES_SHIFT;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.x := s_nz;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
set_x := '1';
FPU: Decide on mask length a cycle earlier This moves longmask into the reg_type record, meaning that it now needs to be decided a cycle earlier, in order to help timing. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.longmask := r.single_prec;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.add_bsmall = '1' then
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_A;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
else
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.opsel_a := AIN_B;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := ADD_2;
when ADD_2 =>
-- r.opsel_a = AIN_A if r.add_bsmall = 1 else AIN_B
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
opsel_b <= BIN_R;
opsel_binv <= r.is_subtract;
carry_in <= r.is_subtract and not r.x;
v.shift := to_signed(-1, EXP_BITS);
v.state := ADD_3;
when ADD_3 =>
-- check for overflow or negative result (can't get both)
FPU: Add comments specifying the expectation of r.shift for each state Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = -1
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.r(63) = '1' then
-- result is opposite sign to expected
v.result_sign := not r.result_sign;
opsel_ainv <= '1';
carry_in <= '1';
v.state := FINISH;
elsif r.r(55) = '1' then
-- sum overflowed, shift right
opsel_r <= RES_SHIFT;
set_x := '1';
if exp_huge = '1' then
v.state := ROUND_OFLOW;
else
v.state := ROUNDING;
end if;
elsif r.r(54) = '1' then
set_x := '1';
v.state := ROUNDING;
elsif (r_hi_nz or r_lo_nz or r.r(1) or r.r(0)) = '0' then
-- r.x must be zero at this point
v.result_class := ZERO;
if r.is_subtract = '1' then
-- set result sign depending on rounding mode
v.result_sign := r.round_mode(1) and r.round_mode(0);
end if;
arith_done := '1';
else
renormalize := '1';
v.state := NORMALIZE;
end if;
FPU: Implement fcmpu and fcmpo Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when CMP_1 =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_A
FPU: Implement fcmpu and fcmpo Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
opsel_b <= BIN_R;
opsel_binv <= '1';
carry_in <= '1';
v.state := CMP_2;
when CMP_2 =>
if r.r(63) = '1' then
-- A is smaller in magnitude
v.cr_result := not r.a.negative & r.a.negative & "00";
elsif (r_hi_nz or r_lo_nz) = '0' then
v.cr_result := "0010";
else
v.cr_result := r.a.negative & not r.a.negative & "00";
end if;
v.fpscr(FPSCR_FL downto FPSCR_FU) := v.cr_result;
v.instr_done := '1';
v.state := IDLE;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when MULT_1 =>
f_to_multiply.valid <= r.first;
opsel_r <= RES_MULT;
if multiply_to_f.valid = '1' then
v.state := FINISH;
end if;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when FMADD_1 =>
-- Addend is bigger here
v.result_sign := not (r.b.negative xor r.insn(1) xor r.insn(2));
-- note v.shift is at most -2 here
v.shift := r.result_exp - r.b.exponent;
opsel_r <= RES_MULT;
opsel_s <= S_MULT;
set_s := '1';
f_to_multiply.valid <= r.first;
if multiply_to_f.valid = '1' then
FPU: Decide on mask length a cycle earlier This moves longmask into the reg_type record, meaning that it now needs to be decided a cycle earlier, in order to help timing. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.longmask := '0';
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := ADD_SHIFT;
end if;
when FMADD_2 =>
-- Product is potentially bigger here
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = addend exp - product exp + 64, r.r = r.b.mantissa
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
set_s := '1';
opsel_s <= S_SHIFT;
v.shift := r.shift - to_signed(64, EXP_BITS);
v.state := FMADD_3;
when FMADD_3 =>
FPU: Add comments specifying the expectation of r.shift for each state Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = addend exp - product exp
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
opsel_r <= RES_SHIFT;
v.first := '1';
v.state := FMADD_4;
when FMADD_4 =>
msel_add <= MULADD_RS;
f_to_multiply.valid <= r.first;
msel_inv <= r.is_subtract;
opsel_r <= RES_MULT;
opsel_s <= S_MULT;
set_s := '1';
if multiply_to_f.valid = '1' then
FPU: Relax timing around multiplier output At present there is a state transition in the handling of the fmadd instructions where the next state depends on the sign bit of the multiplier result. This creates a critical path which doesn't make timing on the A7-100. To fix this, we make the state transition independent of the sign of the multiplier result, which improves timing, but means we take one more cycle to do a fmadd-family instruction in some cases. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := FMADD_5;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
when FMADD_5 =>
FPU: Relax timing around multiplier output At present there is a state transition in the handling of the fmadd instructions where the next state depends on the sign bit of the multiplier result. This creates a critical path which doesn't make timing on the A7-100. To fix this, we make the state transition independent of the sign of the multiplier result, which improves timing, but means we take one more cycle to do a fmadd-family instruction in some cases. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- negate R:S:X if negative
if r.r(63) = '1' then
v.result_sign := not r.result_sign;
opsel_ainv <= '1';
carry_in <= not (s_nz or r.x);
opsel_s <= S_NEG;
set_s := '1';
end if;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.shift := to_signed(56, EXP_BITS);
v.state := FMADD_6;
when FMADD_6 =>
FPU: Add comments specifying the expectation of r.shift for each state Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = 56 (or 0, but only if r is now nonzero)
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if (r.r(56) or r_hi_nz or r_lo_nz or r.r(1) or r.r(0)) = '0' then
if s_nz = '0' then
-- must be a subtraction, and r.x must be zero
v.result_class := ZERO;
v.result_sign := r.round_mode(1) and r.round_mode(0);
arith_done := '1';
else
-- R is all zeroes but there are non-zero bits in S
-- so shift them into R and set S to 0
opsel_r <= RES_SHIFT;
set_s := '1';
-- stay in state FMADD_6
end if;
elsif r.r(56 downto 54) = "001" then
v.state := FINISH;
else
renormalize := '1';
v.state := NORMALIZE;
end if;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when LOOKUP =>
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.opsel_a = AIN_B
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- wait one cycle for inverse_table[B] lookup
v.first := '1';
FPU: Implement fre[s] This just returns the value from the inverse lookup table. The result is accurate to better than one part in 512 (the architecture requires 1/256). This also adds a simple test, which relies on the particular values in the inverse lookup table, so it is not a general test. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.insn(4) = '0' then
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.insn(3) = '0' then
v.state := DIV_2;
else
v.state := SQRT_1;
end if;
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
elsif r.insn(2) = '0' then
FPU: Implement fre[s] This just returns the value from the inverse lookup table. The result is accurate to better than one part in 512 (the architecture requires 1/256). This also adds a simple test, which relies on the particular values in the inverse lookup table, so it is not a general test. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.state := FRE_1;
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
else
v.state := RSQRT_1;
FPU: Implement fre[s] This just returns the value from the inverse lookup table. The result is accurate to better than one part in 512 (the architecture requires 1/256). This also adds a simple test, which relies on the particular values in the inverse lookup table, so it is not a general test. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when DIV_2 =>
-- compute Y = inverse_table[B] (when count=0); P = 2 - B * Y
msel_1 <= MUL1_B;
msel_add <= MULADD_CONST;
msel_inv <= '1';
if r.count = 0 then
msel_2 <= MUL2_LUT;
else
msel_2 <= MUL2_P;
end if;
set_y := r.first;
pshift := '1';
f_to_multiply.valid <= r.first;
if multiply_to_f.valid = '1' then
v.first := '1';
v.count := r.count + 1;
v.state := DIV_3;
end if;
when DIV_3 =>
-- compute Y = P = P * Y
msel_1 <= MUL1_Y;
msel_2 <= MUL2_P;
f_to_multiply.valid <= r.first;
pshift := '1';
if multiply_to_f.valid = '1' then
v.first := '1';
if r.count = 3 then
v.state := DIV_4;
else
v.state := DIV_2;
end if;
end if;
when DIV_4 =>
-- compute R = P = A * Y (quotient)
msel_1 <= MUL1_A;
msel_2 <= MUL2_P;
set_y := r.first;
f_to_multiply.valid <= r.first;
pshift := '1';
if multiply_to_f.valid = '1' then
opsel_r <= RES_MULT;
v.first := '1';
v.state := DIV_5;
end if;
when DIV_5 =>
-- compute P = A - B * R (remainder)
msel_1 <= MUL1_B;
msel_2 <= MUL2_R;
msel_add <= MULADD_A;
msel_inv <= '1';
f_to_multiply.valid <= r.first;
if multiply_to_f.valid = '1' then
v.state := DIV_6;
end if;
when DIV_6 =>
-- test if remainder is 0 or >= B
if pcmpb_lt = '1' then
-- quotient is correct, set X if remainder non-zero
v.x := r.p(58) or px_nz;
else
-- quotient needs to be incremented by 1
carry_in <= '1';
v.x := not pcmpb_eq;
end if;
v.state := FINISH;
FPU: Implement fre[s] This just returns the value from the inverse lookup table. The result is accurate to better than one part in 512 (the architecture requires 1/256). This also adds a simple test, which relies on the particular values in the inverse lookup table, so it is not a general test. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when FRE_1 =>
opsel_r <= RES_MISC;
misc_sel <= "0111";
v.shift := to_signed(1, EXP_BITS);
v.state := NORMALIZE;
FPU: Implement ftdiv and ftsqrt Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when FTDIV_1 =>
v.cr_result(1) := exp_tiny or exp_huge;
if exp_tiny = '1' or exp_huge = '1' or r.a.class = ZERO or r.first = '0' then
v.instr_done := '1';
v.state := IDLE;
else
v.shift := r.a.exponent;
v.doing_ftdiv := "10";
end if;
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when RSQRT_1 =>
opsel_r <= RES_MISC;
misc_sel <= "0111";
sqrt_exp := r.b.exponent(EXP_BITS-1) & r.b.exponent(EXP_BITS-1 downto 1);
v.result_exp := - sqrt_exp;
v.shift := to_signed(1, EXP_BITS);
v.state := NORMALIZE;
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when SQRT_1 =>
-- put invsqr[B] in R and compute P = invsqr[B] * B
-- also transfer B (in R) to A
set_a := '1';
opsel_r <= RES_MISC;
misc_sel <= "0111";
msel_1 <= MUL1_B;
msel_2 <= MUL2_LUT;
f_to_multiply.valid <= '1';
v.shift := to_signed(-1, EXP_BITS);
v.count := "00";
v.state := SQRT_2;
when SQRT_2 =>
-- shift R right one place
-- not expecting multiplier result yet
FPU: Add comments specifying the expectation of r.shift for each state Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = -1
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
opsel_r <= RES_SHIFT;
v.first := '1';
v.state := SQRT_3;
when SQRT_3 =>
-- put R into Y, wait for product from multiplier
msel_2 <= MUL2_R;
set_y := r.first;
pshift := '1';
if multiply_to_f.valid = '1' then
-- put result into R
opsel_r <= RES_MULT;
v.first := '1';
v.state := SQRT_4;
end if;
when SQRT_4 =>
-- compute 1.5 - Y * P
msel_1 <= MUL1_Y;
msel_2 <= MUL2_P;
msel_add <= MULADD_CONST;
msel_inv <= '1';
f_to_multiply.valid <= r.first;
pshift := '1';
if multiply_to_f.valid = '1' then
v.state := SQRT_5;
end if;
when SQRT_5 =>
-- compute Y = Y * P
msel_1 <= MUL1_Y;
msel_2 <= MUL2_P;
f_to_multiply.valid <= '1';
v.first := '1';
v.state := SQRT_6;
when SQRT_6 =>
-- pipeline in R = R * P
msel_1 <= MUL1_R;
msel_2 <= MUL2_P;
f_to_multiply.valid <= r.first;
pshift := '1';
if multiply_to_f.valid = '1' then
v.first := '1';
v.state := SQRT_7;
end if;
when SQRT_7 =>
-- first multiply is done, put result in Y
msel_2 <= MUL2_P;
set_y := r.first;
-- wait for second multiply (should be here already)
pshift := '1';
if multiply_to_f.valid = '1' then
-- put result into R
opsel_r <= RES_MULT;
v.first := '1';
v.count := r.count + 1;
if r.count < 2 then
v.state := SQRT_4;
else
v.first := '1';
v.state := SQRT_8;
end if;
end if;
when SQRT_8 =>
-- compute P = A - R * R, which can be +ve or -ve
-- we arranged for B to be put into A earlier
msel_1 <= MUL1_R;
msel_2 <= MUL2_R;
msel_add <= MULADD_A;
msel_inv <= '1';
pshift := '1';
f_to_multiply.valid <= r.first;
if multiply_to_f.valid = '1' then
v.first := '1';
v.state := SQRT_9;
end if;
when SQRT_9 =>
-- compute P = P * Y
-- since Y is an estimate of 1/sqrt(B), this makes P an
-- estimate of the adjustment needed to R. Since the error
-- could be negative and we have an unsigned multiplier, the
-- upper bits can be wrong, but it turns out the lowest 8 bits
-- are correct and are all we need (given 3 iterations through
-- SQRT_4 to SQRT_7).
msel_1 <= MUL1_Y;
msel_2 <= MUL2_P;
pshift := '1';
f_to_multiply.valid <= r.first;
if multiply_to_f.valid = '1' then
v.state := SQRT_10;
end if;
when SQRT_10 =>
-- Add the bottom 8 bits of P, sign-extended,
-- divided by 4, onto R.
-- The division by 4 is because R is 10.54 format
-- whereas P is 8.56 format.
opsel_b <= BIN_PS6;
sqrt_exp := r.b.exponent(EXP_BITS-1) & r.b.exponent(EXP_BITS-1 downto 1);
v.result_exp := sqrt_exp;
v.shift := to_signed(1, EXP_BITS);
v.first := '1';
v.state := SQRT_11;
when SQRT_11 =>
-- compute P = A - R * R (remainder)
-- also put 2 * R + 1 into B for comparison with P
msel_1 <= MUL1_R;
msel_2 <= MUL2_R;
msel_add <= MULADD_A;
msel_inv <= '1';
f_to_multiply.valid <= r.first;
shiftin := '1';
set_b := r.first;
if multiply_to_f.valid = '1' then
v.state := SQRT_12;
end if;
when SQRT_12 =>
-- test if remainder is 0 or >= B = 2*R + 1
if pcmpb_lt = '1' then
-- square root is correct, set X if remainder non-zero
v.x := r.p(58) or px_nz;
else
-- square root needs to be incremented by 1
carry_in <= '1';
v.x := not pcmpb_eq;
end if;
v.state := FINISH;
FPU: Implement floating convert to integer instructions This implements fctiw, fctiwz, fctiwu, fctiwuz, fctid, fctidz, fctidu and fctiduz, and adds tests for them. There are some subtleties around the setting of the inexact (XX) and invalid conversion (VXCVI) flags in the FPSCR. If the rounded value ends up being out of range, we need to set VXCVI and not XX. For a conversion to unsigned word or doubleword of a negative value that rounds to zero, we need to set XX and not VXCVI. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when INT_SHIFT =>
FPU: Add comments specifying the expectation of r.shift for each state Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = b.exponent - 52
FPU: Implement floating convert to integer instructions This implements fctiw, fctiwz, fctiwu, fctiwuz, fctid, fctidz, fctidu and fctiduz, and adds tests for them. There are some subtleties around the setting of the inexact (XX) and invalid conversion (VXCVI) flags in the FPSCR. If the rounded value ends up being out of range, we need to set VXCVI and not XX. For a conversion to unsigned word or doubleword of a negative value that rounds to zero, we need to set XX and not VXCVI. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
opsel_r <= RES_SHIFT;
set_x := '1';
v.state := INT_ROUND;
v.shift := to_signed(-2, EXP_BITS);
when INT_ROUND =>
FPU: Add comments specifying the expectation of r.shift for each state Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = -2
FPU: Implement floating convert to integer instructions This implements fctiw, fctiwz, fctiwu, fctiwuz, fctid, fctidz, fctidu and fctiduz, and adds tests for them. There are some subtleties around the setting of the inexact (XX) and invalid conversion (VXCVI) flags in the FPSCR. If the rounded value ends up being out of range, we need to set VXCVI and not XX. For a conversion to unsigned word or doubleword of a negative value that rounds to zero, we need to set XX and not VXCVI. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
opsel_r <= RES_SHIFT;
round := fp_rounding(r.r, r.x, '0', r.round_mode, r.result_sign);
v.fpscr(FPSCR_FR downto FPSCR_FI) := round;
-- Check for negative values that don't round to 0 for fcti*u*
if r.insn(8) = '1' and r.result_sign = '1' and
(r_hi_nz or r_lo_nz or v.fpscr(FPSCR_FR)) = '1' then
v.state := INT_OFLOW;
else
v.state := INT_FINAL;
end if;
when INT_ISHIFT =>
FPU: Add comments specifying the expectation of r.shift for each state Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = b.exponent - 54;
FPU: Implement floating convert to integer instructions This implements fctiw, fctiwz, fctiwu, fctiwuz, fctid, fctidz, fctidu and fctiduz, and adds tests for them. There are some subtleties around the setting of the inexact (XX) and invalid conversion (VXCVI) flags in the FPSCR. If the rounded value ends up being out of range, we need to set VXCVI and not XX. For a conversion to unsigned word or doubleword of a negative value that rounds to zero, we need to set XX and not VXCVI. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
opsel_r <= RES_SHIFT;
v.state := INT_FINAL;
when INT_FINAL =>
-- Negate if necessary, and increment for rounding if needed
opsel_ainv <= r.result_sign;
carry_in <= r.fpscr(FPSCR_FR) xor r.result_sign;
-- Check for possible overflows
case r.insn(9 downto 8) is
when "00" => -- fctiw[z]
need_check := r.r(31) or (r.r(30) and not r.result_sign);
when "01" => -- fctiwu[z]
need_check := r.r(31);
when "10" => -- fctid[z]
need_check := r.r(63) or (r.r(62) and not r.result_sign);
when others => -- fctidu[z]
need_check := r.r(63);
end case;
if need_check = '1' then
v.state := INT_CHECK;
else
if r.fpscr(FPSCR_FI) = '1' then
v.fpscr(FPSCR_XX) := '1';
end if;
arith_done := '1';
end if;
when INT_CHECK =>
if r.insn(9) = '0' then
msb := r.r(31);
else
msb := r.r(63);
end if;
misc_sel <= '1' & r.insn(9 downto 8) & r.result_sign;
if (r.insn(8) = '0' and msb /= r.result_sign) or
(r.insn(8) = '1' and msb /= '1') then
opsel_r <= RES_MISC;
v.fpscr(FPSCR_VXCVI) := '1';
invalid := '1';
else
if r.fpscr(FPSCR_FI) = '1' then
v.fpscr(FPSCR_XX) := '1';
end if;
end if;
arith_done := '1';
when INT_OFLOW =>
opsel_r <= RES_MISC;
misc_sel <= '1' & r.insn(9 downto 8) & r.result_sign;
if r.b.class = NAN then
misc_sel(0) <= '1';
end if;
v.fpscr(FPSCR_VXCVI) := '1';
invalid := '1';
arith_done := '1';
FPU: Implement floating round-to-integer instructions This implements frin, friz, frip and frim, and adds tests for them. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when FRI_1 =>
FPU: Add comments specifying the expectation of r.shift for each state Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = b.exponent - 52
FPU: Implement floating round-to-integer instructions This implements frin, friz, frip and frim, and adds tests for them. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
opsel_r <= RES_SHIFT;
set_x := '1';
v.state := ROUNDING;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
when FINISH =>
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.is_multiply = '1' and px_nz = '1' then
v.x := '1';
end if;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
if r.r(63 downto 54) /= "0000000001" then
renormalize := '1';
v.state := NORMALIZE;
else
set_x := '1';
if exp_tiny = '1' then
v.shift := new_exp - min_exp;
v.state := ROUND_UFLOW;
elsif exp_huge = '1' then
v.state := ROUND_OFLOW;
else
v.state := ROUNDING;
end if;
end if;
when NORMALIZE =>
-- Shift so we have 9 leading zeroes (we know R is non-zero)
FPU: Add comments specifying the expectation of r.shift for each state Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = clz(r.r) - 9
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
opsel_r <= RES_SHIFT;
set_x := '1';
if exp_tiny = '1' then
v.shift := new_exp - min_exp;
v.state := ROUND_UFLOW;
elsif exp_huge = '1' then
v.state := ROUND_OFLOW;
else
v.state := ROUNDING;
end if;
when ROUND_UFLOW =>
FPU: Add comments specifying the expectation of r.shift for each state Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = - amount by which exponent underflows
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
v.tiny := '1';
if r.fpscr(FPSCR_UE) = '0' then
-- disabled underflow exception case
-- have to denormalize before rounding
opsel_r <= RES_SHIFT;
set_x := '1';
v.state := ROUNDING;
else
-- enabled underflow exception case
-- if denormalized, have to normalize before rounding
v.fpscr(FPSCR_UX) := '1';
v.result_exp := r.result_exp + bias_exp;
if r.r(54) = '0' then
renormalize := '1';
v.state := NORMALIZE;
else
v.state := ROUNDING;
end if;
end if;
when ROUND_OFLOW =>
v.fpscr(FPSCR_OX) := '1';
if r.fpscr(FPSCR_OE) = '0' then
-- disabled overflow exception
-- result depends on rounding mode
v.fpscr(FPSCR_XX) := '1';
v.fpscr(FPSCR_FI) := '1';
if r.round_mode(1 downto 0) = "00" or
(r.round_mode(1) = '1' and r.round_mode(0) = r.result_sign) then
v.result_class := INFINITY;
v.fpscr(FPSCR_FR) := '1';
else
v.fpscr(FPSCR_FR) := '0';
end if;
-- construct largest representable number
v.result_exp := max_exp;
opsel_r <= RES_MISC;
misc_sel <= "001" & r.single_prec;
arith_done := '1';
else
-- enabled overflow exception
v.result_exp := r.result_exp - bias_exp;
v.state := ROUNDING;
end if;
when ROUNDING =>
FPU: Do masking after adder rather than on A input The masking enabled by opsel_amask is only used when rounding, to trim the rounded result to the required precision. We now do the masking after the adder rather than before (on the A input). This gives the same result and helps timing. The path from r.shift through the mask generator and adder to v.r was showing up as a critical path. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
opsel_mask <= '1';
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
round := fp_rounding(r.r, r.x, r.single_prec, r.round_mode, r.result_sign);
v.fpscr(FPSCR_FR downto FPSCR_FI) := round;
if round(1) = '1' then
FPU: Don't use mask generator for rounding Instead of using the mask generator in the rounding process, this uses simpler logic to add in a 1 at the appropriate position (bit 2 or bit 31, depending on precision) and mask off the low-order bits. Since there are only two positions at which the masking and incrementing need to be done, we don't need the full generality of the mask generator. This reduces the amount of logic and improves timing. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- increment the LSB for the precision
opsel_b <= BIN_RND;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
v.shift := to_signed(-1, EXP_BITS);
v.state := ROUNDING_2;
else
if r.r(54) = '0' then
-- result after masking could be zero, or could be a
-- denormalized result that needs to be renormalized
renormalize := '1';
v.state := ROUNDING_3;
else
arith_done := '1';
end if;
end if;
if round(0) = '1' then
v.fpscr(FPSCR_XX) := '1';
if r.tiny = '1' then
v.fpscr(FPSCR_UX) := '1';
end if;
end if;
when ROUNDING_2 =>
-- Check for overflow during rounding
FPU: Add comments specifying the expectation of r.shift for each state Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = -1
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
v.x := '0';
if r.r(55) = '1' then
opsel_r <= RES_SHIFT;
if exp_huge = '1' then
v.state := ROUND_OFLOW;
else
arith_done := '1';
end if;
elsif r.r(54) = '0' then
-- Do CLZ so we can renormalize the result
renormalize := '1';
v.state := ROUNDING_3;
else
arith_done := '1';
end if;
when ROUNDING_3 =>
FPU: Add comments specifying the expectation of r.shift for each state Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = clz(r.r) - 9
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
mant_nz := r_hi_nz or (r_lo_nz and not r.single_prec);
if mant_nz = '0' then
v.result_class := ZERO;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.is_subtract = '1' then
-- set result sign depending on rounding mode
v.result_sign := r.round_mode(1) and r.round_mode(0);
end if;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
arith_done := '1';
else
-- Renormalize result after rounding
opsel_r <= RES_SHIFT;
v.denorm := exp_tiny;
v.shift := new_exp - to_signed(-1022, EXP_BITS);
if new_exp < to_signed(-1022, EXP_BITS) then
v.state := DENORM;
else
arith_done := '1';
end if;
end if;
when DENORM =>
FPU: Add comments specifying the expectation of r.shift for each state Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- r.shift = result_exp - -1022
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
opsel_r <= RES_SHIFT;
arith_done := '1';
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when NAN_RESULT =>
if (r.use_a = '1' and r.a.class = NAN and r.a.mantissa(53) = '0') or
(r.use_b = '1' and r.b.class = NAN and r.b.mantissa(53) = '0') or
(r.use_c = '1' and r.c.class = NAN and r.c.mantissa(53) = '0') then
-- Signalling NAN
v.fpscr(FPSCR_VXSNAN) := '1';
invalid := '1';
end if;
if r.use_a = '1' and r.a.class = NAN then
v.opsel_a := AIN_A;
elsif r.use_b = '1' and r.b.class = NAN then
v.opsel_a := AIN_B;
elsif r.use_c = '1' and r.c.class = NAN then
v.opsel_a := AIN_C;
end if;
v.state := EXC_RESULT;
when EXC_RESULT =>
-- r.opsel_a = AIN_A, AIN_B or AIN_C according to which input is the result
case r.opsel_a is
when AIN_B =>
v.result_sign := r.b.negative xor r.negate;
v.result_exp := r.b.exponent;
v.result_class := r.b.class;
when AIN_C =>
v.result_sign := r.c.negative xor r.negate;
v.result_exp := r.c.exponent;
v.result_class := r.c.class;
when others =>
v.result_sign := r.a.negative xor r.negate;
v.result_exp := r.a.exponent;
v.result_class := r.a.class;
end case;
arith_done := '1';
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end case;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if zero_divide = '1' then
v.fpscr(FPSCR_ZX) := '1';
end if;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if qnan_result = '1' then
invalid := '1';
v.result_class := NAN;
v.result_sign := '0';
misc_sel <= "0001";
opsel_r <= RES_MISC;
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
arith_done := '1';
end if;
if invalid = '1' then
v.invalid := '1';
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
if arith_done = '1' then
FPU: Implement the frsp instruction This brings in the invalid exception for the case of frsp with a signalling NaN as input, and the need to be able to convert a signalling NaN to a quiet NaN. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- Enabled invalid exception doesn't write result or FPRF
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- Neither does enabled zero-divide exception
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if (v.invalid and r.fpscr(FPSCR_VE)) = '0' and
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
(zero_divide and r.fpscr(FPSCR_ZE)) = '0' then
FPU: Implement the frsp instruction This brings in the invalid exception for the case of frsp with a signalling NaN as input, and the need to be able to convert a signalling NaN to a quiet NaN. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.writing_back := '1';
v.update_fprf := '1';
end if;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
v.instr_done := '1';
v.state := IDLE;
update_fx := '1';
end if;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- Multiplier and divide/square root data path
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
case msel_1 is
when MUL1_A =>
f_to_multiply.data1 <= r.a.mantissa(61 downto 0) & "00";
when MUL1_B =>
f_to_multiply.data1 <= r.b.mantissa(61 downto 0) & "00";
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when MUL1_Y =>
f_to_multiply.data1 <= r.y;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when others =>
f_to_multiply.data1 <= r.r(61 downto 0) & "00";
end case;
case msel_2 is
when MUL2_C =>
f_to_multiply.data2 <= r.c.mantissa(61 downto 0) & "00";
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when MUL2_LUT =>
f_to_multiply.data2 <= x"00" & inverse_est & '0' & x"000000000";
when MUL2_P =>
f_to_multiply.data2 <= r.p;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when others =>
f_to_multiply.data2 <= r.r(61 downto 0) & "00";
end case;
maddend := (others => '0');
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
case msel_add is
when MULADD_CONST =>
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- addend is 2.0 or 1.5 in 16.112 format
if r.is_sqrt = '0' then
maddend(113) := '1'; -- 2.0
else
maddend(112 downto 111) := "11"; -- 1.5
end if;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when MULADD_A =>
-- addend is A in 16.112 format
maddend(121 downto 58) := r.a.mantissa;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when MULADD_RS =>
-- addend is concatenation of R and S in 16.112 format
maddend := "000000" & r.r & r.s & "00";
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when others =>
end case;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if msel_inv = '1' then
f_to_multiply.addend <= not maddend;
else
f_to_multiply.addend <= maddend;
end if;
f_to_multiply.not_result <= msel_inv;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if set_y = '1' then
v.y := f_to_multiply.data2;
end if;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if multiply_to_f.valid = '1' then
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if pshift = '0' then
v.p := multiply_to_f.result(63 downto 0);
else
v.p := multiply_to_f.result(119 downto 56);
end if;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- Data path.
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
-- This has A and B input multiplexers, an adder, a shifter,
-- count-leading-zeroes logic, and a result mux.
FPU: Decide on mask length a cycle earlier This moves longmask into the reg_type record, meaning that it now needs to be decided a cycle earlier, in order to help timing. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.longmask = '1' then
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
mshift := r.shift + to_signed(-29, EXP_BITS);
else
mshift := r.shift;
end if;
if mshift < to_signed(-64, EXP_BITS) then
mask := (others => '1');
elsif mshift >= to_signed(0, EXP_BITS) then
mask := (others => '0');
else
mask := right_mask(unsigned(mshift(5 downto 0)));
end if;
FPU: Decide on A input selection a cycle earlier This moves opsel_a into the reg_type record, meaning that the A multiplexer input now needs to be decided a cycle earlier. This helps timing by eliminating the combinatorial path from r.state and other things to opsel_a and thence to in_a and result. This means that some things now take an extra cycle, in particular some of the exception cases such as when one or both operands are NaNs. The NaN handling has been moved out to its own state, which simplifies the logic for exception cases in other places. Additions or subtractions where FRB's exponent is smaller than FRA's will also take an extra cycle. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
case r.opsel_a is
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
when AIN_R =>
in_a0 := r.r;
when AIN_A =>
in_a0 := r.a.mantissa;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when AIN_B =>
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
in_a0 := r.b.mantissa;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when others =>
in_a0 := r.c.mantissa;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
end case;
if (or (mask and in_a0)) = '1' and set_x = '1' then
v.x := '1';
end if;
if opsel_ainv = '1' then
in_a0 := not in_a0;
end if;
in_a <= in_a0;
case opsel_b is
when BIN_ZERO =>
in_b0 := (others => '0');
when BIN_R =>
in_b0 := r.r;
FPU: Don't use mask generator for rounding Instead of using the mask generator in the rounding process, this uses simpler logic to add in a 1 at the appropriate position (bit 2 or bit 31, depending on precision) and mask off the low-order bits. Since there are only two positions at which the masking and incrementing need to be done, we don't need the full generality of the mask generator. This reduces the amount of logic and improves timing. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when BIN_RND =>
round_inc := (31 => r.single_prec, 2 => not r.single_prec, others => '0');
in_b0 := round_inc;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
when others =>
FPU: Implement fsqrt[s] and add a test for fsqrt This implements the floating square-root calculation using a table lookup of the inverse square root approximation, followed by three iterations of Goldschmidt's algorithm, which gives estimates of both sqrt(FRB) and 1/sqrt(FRB). Then the residual is calculated as FRB - R * R and that is multiplied by the 1/sqrt(FRB) estimate to get an adjustment to R. The residual and the adjustment can be negative, and since we have an unsigned multiplier, the upper bits can be wrong. In practice the adjustment fits into an 8-bit signed value, and the bottom 8 bits of the adjustment product are correct, so we sign-extend them, divide by 4 (because R is in 10.54 format) and add them to R. Finally the residual is calculated again and compared to 2*R+1 to see if a final increment is needed. Then the result is rounded and written back. This implements fsqrts as fsqrt, but with rounding to single precision and underflow/overflow calculation using the single-precision exponent range. This could be optimized later. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
-- BIN_PS6, 6 LSBs of P/4 sign-extended to 64
in_b0 := std_ulogic_vector(resize(signed(r.p(7 downto 2)), 64));
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
end case;
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if opsel_binv = '1' then
in_b0 := not in_b0;
end if;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
in_b <= in_b0;
if r.shift >= to_signed(-64, EXP_BITS) and r.shift <= to_signed(63, EXP_BITS) then
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
shift_res := shifter_64(r.r & (shiftin or r.s(55)) & r.s(54 downto 0),
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
std_ulogic_vector(r.shift(6 downto 0)));
else
shift_res := (others => '0');
end if;
FPU: Do masking after adder rather than on A input The masking enabled by opsel_amask is only used when rounding, to trim the rounded result to the required precision. We now do the masking after the adder rather than before (on the A input). This gives the same result and helps timing. The path from r.shift through the mask generator and adder to v.r was showing up as a critical path. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
sum := std_ulogic_vector(unsigned(in_a) + unsigned(in_b) + carry_in);
if opsel_mask = '1' then
FPU: Don't use mask generator for rounding Instead of using the mask generator in the rounding process, this uses simpler logic to add in a 1 at the appropriate position (bit 2 or bit 31, depending on precision) and mask off the low-order bits. Since there are only two positions at which the masking and incrementing need to be done, we don't need the full generality of the mask generator. This reduces the amount of logic and improves timing. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
sum(1 downto 0) := "00";
if r.single_prec = '1' then
sum(30 downto 2) := (others => '0');
end if;
FPU: Do masking after adder rather than on A input The masking enabled by opsel_amask is only used when rounding, to trim the rounded result to the required precision. We now do the masking after the adder rather than before (on the A input). This gives the same result and helps timing. The path from r.shift through the mask generator and adder to v.r was showing up as a critical path. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
end if;
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
case opsel_r is
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
when RES_SUM =>
FPU: Do masking after adder rather than on A input The masking enabled by opsel_amask is only used when rounding, to trim the rounded result to the required precision. We now do the masking after the adder rather than before (on the A input). This gives the same result and helps timing. The path from r.shift through the mask generator and adder to v.r was showing up as a critical path. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
result <= sum;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
when RES_SHIFT =>
result <= shift_res;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when RES_MULT =>
result <= multiply_to_f.result(121 downto 58);
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
when others =>
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
case misc_sel is
when "0000" =>
misc := x"00000000" & (r.fpscr and fpscr_mask);
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "0001" =>
-- generated QNaN mantissa
misc := x"0020000000000000";
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
when "0010" =>
-- mantissa of max representable DP number
misc := x"007ffffffffffffc";
when "0011" =>
-- mantissa of max representable SP number
misc := x"007fffff80000000";
FPU: Implement fmrgew and fmrgow and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "0100" =>
-- fmrgow result
misc := r.a.mantissa(31 downto 0) & r.b.mantissa(31 downto 0);
when "0110" =>
-- fmrgew result
misc := r.a.mantissa(63 downto 32) & r.b.mantissa(63 downto 32);
FPU: Implement fre[s] This just returns the value from the inverse lookup table. The result is accurate to better than one part in 512 (the architecture requires 1/256). This also adds a simple test, which relies on the particular values in the inverse lookup table, so it is not a general test. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "0111" =>
misc := 10x"000" & inverse_est & 35x"000000000";
FPU: Implement floating convert to integer instructions This implements fctiw, fctiwz, fctiwu, fctiwuz, fctid, fctidz, fctidu and fctiduz, and adds tests for them. There are some subtleties around the setting of the inexact (XX) and invalid conversion (VXCVI) flags in the FPSCR. If the rounded value ends up being out of range, we need to set VXCVI and not XX. For a conversion to unsigned word or doubleword of a negative value that rounds to zero, we need to set XX and not VXCVI. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
when "1000" =>
-- max positive result for fctiw[z]
misc := x"000000007fffffff";
when "1001" =>
-- max negative result for fctiw[z]
misc := x"ffffffff80000000";
when "1010" =>
-- max positive result for fctiwu[z]
misc := x"00000000ffffffff";
when "1011" =>
-- max negative result for fctiwu[z]
misc := x"0000000000000000";
when "1100" =>
-- max positive result for fctid[z]
misc := x"7fffffffffffffff";
when "1101" =>
-- max negative result for fctid[z]
misc := x"8000000000000000";
when "1110" =>
-- max positive result for fctidu[z]
misc := x"ffffffffffffffff";
when "1111" =>
-- max negative result for fctidu[z]
misc := x"0000000000000000";
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
when others =>
misc := x"0000000000000000";
end case;
result <= misc;
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
end case;
v.r := result;
FPU: Implement floating multiply-add instructions This implements fmadd, fmsub, fnmadd, fnmsub and their single-precision counterparts. The single-precision versions operate the same as the double-precision versions until the final rounding and overflow/underflow steps. This adds an S register to store the low bits of the product. S shifts into R on left shifts, and can be negated, but doesn't do any other arithmetic. This adds a test for the double-precision versions of these instructions. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if set_s = '1' then
case opsel_s is
when S_NEG =>
v.s := std_ulogic_vector(unsigned(not r.s) + (not r.x));
when S_MULT =>
v.s := multiply_to_f.result(57 downto 2);
when S_SHIFT =>
v.s := shift_res(63 downto 8);
if shift_res(7 downto 0) /= x"00" then
v.x := '1';
end if;
when others =>
v.s := (others => '0');
end case;
end if;
FPU: Implement remaining FPSCR-related instructions This implements mcrfs, mtfsfi, mtfsb0/1, mffscr, mffscrn, mffscrni and mffsl. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if set_a = '1' then
v.a.exponent := new_exp;
v.a.mantissa := shift_res;
end if;
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if set_b = '1' then
v.b.exponent := new_exp;
v.b.mantissa := shift_res;
end if;
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if set_c = '1' then
v.c.exponent := new_exp;
v.c.mantissa := shift_res;
end if;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
if opsel_r = RES_SHIFT then
v.result_exp := new_exp;
end if;
if renormalize = '1' then
clz := count_left_zeroes(r.r);
FPU: Implement frsqrte[s] and a test for frsqrte This implements frsqrte by table lookup. We first normalize the input if necessary and adjust so that the exponent is even, giving us a mantissa value in the range [1.0, 4.0), which is then used to look up an entry in a 768-entry table. The 768 entries are appended to the table for reciprocal estimates, giving a table of 1024 entries in total. frsqrtes is implemented identically to frsqrte. The estimate supplied is accurate to 1 part in 1024 or better. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if renorm_sqrt = '1' then
-- make denormalized value end up with even exponent
clz(0) := '1';
end if;
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
v.shift := resize(signed('0' & clz) - 9, EXP_BITS);
end if;
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
if r.int_result = '1' then
fp_result <= r.r;
else
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
fp_result <= pack_dp(r.result_sign, r.result_class, r.result_exp, r.r,
FPU: Implement the frsp instruction This brings in the invalid exception for the case of frsp with a signalling NaN as input, and the need to be able to convert a signalling NaN to a quiet NaN. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
r.single_prec, r.quieten_nan);
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
end if;
if r.update_fprf = '1' then
v.fpscr(FPSCR_C downto FPSCR_FU) := result_flags(r.result_sign, r.result_class,
r.r(54) and not r.denorm);
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
end if;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.fpscr(FPSCR_VX) := (or (v.fpscr(FPSCR_VXSNAN downto FPSCR_VXVC))) or
(or (v.fpscr(FPSCR_VXSOFT downto FPSCR_VXCVI)));
v.fpscr(FPSCR_FEX) := or (v.fpscr(FPSCR_VX downto FPSCR_XX) and
v.fpscr(FPSCR_VE downto FPSCR_XE));
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
5 years ago
if update_fx = '1' and
(v.fpscr(FPSCR_VX downto FPSCR_XX) and not r.old_exc) /= "00000" then
v.fpscr(FPSCR_FX) := '1';
end if;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if r.rc = '1' then
v.cr_result := v.fpscr(FPSCR_FX downto FPSCR_OX);
end if;
core: Send FPU interrupts to writeback rather than execute1 Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.illegal := illegal;
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
if illegal = '1' then
v.instr_done := '0';
core: Send FPU interrupts to writeback rather than execute1 Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.do_intr := '1';
core: Add framework for an FPU This adds the skeleton of a floating-point unit and implements the mffs and mtfsf instructions. Execute1 sends FP instructions to the FPU and receives busy, exception, FP interrupt and illegal interrupt signals from it. Signed-off-by: Paul Mackerras <paulus@ozlabs.org>
4 years ago
v.writing_back := '0';
v.busy := '0';
v.state := IDLE;
else
v.do_intr := v.instr_done and v.fpscr(FPSCR_FEX) and r.fe_mode;
if v.state /= IDLE or v.do_intr = '1' then
v.busy := '1';
end if;
end if;
rin <= v;
end process;
end architecture behaviour;