91 Commits

Author SHA1 Message Date
Michael Bedy
a61889580e
[SLP] Invariant loads cannot have a memory dependency on stores. (#167929) 2025-11-18 09:35:29 +01:00
Hanyang (Eric) Xu
6e1e89ee38
[SLP] Avoid -passes=instcombine stages in SLP tests (#146257)
Fixes #145511

Note that there are still two instances of
--passes=slp-vectorizer,instcombine left unchanged because it seems that
the tests are meant to run in conjunction with instcombine and removing
instcombine would invalidate their original objective:


[llvm/test/Transforms/SLPVectorizer/arith-div-undef.ll](https://github.com/llvm/llvm-project/blob/main/llvm/test/Transforms/SLPVectorizer/arith-div-undef.ll)

[llvm/test/Transforms/SLPVectorizer/slp-hr-with-reuse.ll](https://github.com/llvm/llvm-project/blob/main/llvm/test/Transforms/SLPVectorizer/slp-hr-with-reuse.ll)
2025-07-02 06:14:41 -04:00
Gheorghe-Teodor Bercea
3df36a2b18
[AMDGPU] Enable vectorization of i8 values. (#134934)
This patch adjusts the cost model to account for the ability of the
AMDGPU optimizer to group together i8 values into i32 values.

Co-authored-by: Erich Keane <ekeane@nvidia.com>
2025-06-26 19:15:31 -04:00
Matt Arsenault
54015f36c6
AMDGPU: Cost model for minimumnum/maximumnum (#141946) 2025-06-18 08:19:06 +09:00
Matt Arsenault
c9b2816388
AMDGPU: Fix cost model for 16-bit operations on gfx8 (#141943)
We should only divide the number of pieces to fit the packed instructions
if we actually have pk instructions. This increases the cost of copysign,
but is closer to the current codegen output. It could be much cheaper
than it is now.
2025-06-18 08:07:03 +09:00
Jeffrey Byrnes
c9a87a50ae
[SLPVectorizer] Use accurate cost for external users of resize shuffles (#137419)
When implementing the vectorization, we potentially need to add shuffles
for external users. In such cases, we may be shuffling a smaller vector
into a larger vector. When this happens `ResizeToVF` will just build a
poison padded identity vector. Then the to build the final shuffle, we
just use the `SK_InsertSubvector` mask.

This is possibly clearer by looking at the included test in
SLPVectorizer/AMDGPU/external-shuffle.ll

In the exit block we have a bunch of shuffles to glue the vectorized
tree match the `InsertElement` users. `TMP25` holds the result of
resizing the v2i16 vectorized sequence to match the `InsertElement` size
v16i16. Then `TMP26` is the final shuffle which replaces the
`InsertElement` sequence. This is just an insertsubvector.

However, when calculating the cost for these shuffles, we aren't
modelling this correctly. `ResizeToVF` will indicate to
`performExtractsShuffleAction` that we cannot use the original mask due
to the resize shuffle. The consequence is that the cost calculation uses
a different shuffle mask than what is ultimately used.

Going back to the included test, we can consider again `TMP26`. Clearly
we can see the shuffle uses a mask {0, 1, 2, 3, 16, 17, poison ..}.
However, we will currently calculate the cost with a mask {0, 1, 2, 3,
20, 21, ...} we have replaced 16 and 17 with 20 and 21 (Index + Vector
Size). Queries like BasicTTImpl::improveShuffleKindFromMask will not
recognize this as an `SK_InsertSubvector` mask, and targets which have
reduced costs for `SK_InsertSubvector` will not accurately calculate the
cost.
2025-06-17 08:14:05 -07:00
Luke Lau
b81d5e06c7
[InstCombine] Fold shuffles through all trivially vectorizable intrinsics (#141979)
This addresses a TODO in foldShuffledIntrinsicOperands to use
isTriviallyVectorizable instead of a hardcoded list of intrinsics, which
in turn allows more intriniscs to be scalarized by VectorCombine.

From what I can tell every intrinsic here should be speculatable so an
assertion was added.

Because this enables intrinsics like abs which have a scalar operand, we
need to also check isVectorIntrinsicWithScalarOpAtArg.
2025-06-13 18:25:07 +01:00
Jeffrey Byrnes
cc17f68e56
[SLP] NFC: Precommit test for pull/137419 (#137730)
Precommit for https://github.com/llvm/llvm-project/pull/137419
2025-06-12 07:23:07 -07:00
Gheorghe-Teodor Bercea
25a031947a
[AMDGPU][NFC] Add tests in preparation for i8 vectorization (#138801)
Precommit tests for PR: https://github.com/llvm/llvm-project/pull/134934
2025-05-09 10:32:49 -04:00
Alexander Richardson
ee13638362
[AMDGPU] Remove explicit datalayout from tests where not needed
Since e39f6c1844fab59c638d8059a6cf139adb42279a opt will infer the
correct datalayout when given a triple. Avoid explicitly specifying it
in tests that depend on the AMDGPU target being present to avoid the
string becoming out of sync with the TargetInfo value.
Only tests with REQUIRES: amdgpu-registered-target or a local lit.cfg
were updated to ensure that tests for non-target-specific passes that
happen to use the AMDGPU layout still pass when building with a limited
set of targets.

Reviewed By: shiltian, arsenm

Pull Request: https://github.com/llvm/llvm-project/pull/137921
2025-04-30 10:58:17 -07:00
Jeffrey Byrnes
4336e5edbc
[SLP] Sort PHIs by ExtractElements when relevant (#131229)
Considering the PHIs in order of element extracted can lead to better shuffles.
2025-03-17 14:19:46 -07:00
Jeffrey Byrnes
fc28f83bf5
[SLP] Precommit test (#131236)
Precommit test for https://github.com/llvm/llvm-project/pull/131229
2025-03-13 16:03:46 -07:00
Alexey Bataev
3b18d47ecb [SLP]Improved reduction cost/codegen
SLP vectorizer is able to combine several reductions from the list of
(potentially) reduced values with the different opcodes/values kind.
Currently, these reductions are handled independently of each other. But
instead the compiler can combine them into wide vector operations and
then perform only single reduction.
E.g, if the SLP vectorizer emits currently something like:
```
%r1 = reduce.add(<4 x i32> %v1)
%r2 = reduce.add(<4 x i32> %v2)
%r = add i32 %r1, %r2
```

it can be emitted as:
```
%v = add <4 x i32> %v1, %v2
%r = reduce.add(<4 x i32> %v)
```

It allows to improve the performance in some cases.

AVX512, -O3+LTO
Metric: size..text

Program                                                                                           size..text
                                                                                                  results     results0    diff
                      test-suite :: SingleSource/Benchmarks/Shootout-C++/Shootout-C++-matrix.test     4553.00     4615.00  1.4%
                                 test-suite :: SingleSource/Benchmarks/Adobe-C++/loop_unroll.test   412708.00   416820.00  1.0%
        test-suite :: SingleSource/UnitTests/Vector/AVX512BWVL/Vector-AVX512BWVL-mask_set_bw.test    12901.00    12981.00  0.6%
                        test-suite :: MultiSource/Benchmarks/FreeBench/fourinarow/fourinarow.test    22717.00    22813.00  0.4%
                             test-suite :: MultiSource/Benchmarks/mediabench/gsm/toast/toast.test    39722.00    39850.00  0.3%
                      test-suite :: MultiSource/Benchmarks/MiBench/telecomm-gsm/telecomm-gsm.test    39725.00    39853.00  0.3%
test-suite :: SingleSource/Regression/C/gcc-c-torture/execute/GCC-C-execute-builtin-bitops-1.test    15918.00    15967.00  0.3%
                                       test-suite :: External/SPEC/CFP2006/433.milc/433.milc.test   155491.00   155587.00  0.1%
                                     test-suite :: MicroBenchmarks/ImageProcessing/Blur/blur.test   227894.00   227942.00  0.0%
                                    test-suite :: MultiSource/Benchmarks/7zip/7zip-benchmark.test  1062188.00  1062364.00  0.0%
                                test-suite :: External/SPEC/CINT2006/464.h264ref/464.h264ref.test   793672.00   793720.00  0.0%
                              test-suite :: External/SPEC/CINT2017rate/525.x264_r/525.x264_r.test   657371.00   657403.00  0.0%
                             test-suite :: External/SPEC/CINT2017speed/625.x264_s/625.x264_s.test   657371.00   657403.00  0.0%
                   test-suite :: External/SPEC/CINT2017speed/600.perlbench_s/600.perlbench_s.test  2074917.00  2074933.00  0.0%
                    test-suite :: External/SPEC/CINT2017rate/500.perlbench_r/500.perlbench_r.test  2074917.00  2074933.00  0.0%
                                     test-suite :: MultiSource/Applications/JM/lencod/lencod.test   855219.00   855203.00 -0.0%

Benchmarks/Shootout-C++ - same transformed reduction
Adobe-C++/loop_unroll - same transformed reductions, new vector code
AVX512BWVL/Vector-AVX512BWVL-mask_set_bw - same transformed reductions
FreeBench/fourinarow - same transformed reductions
MiBench/telecomm-gsm - same transformed reductions
execute/GCC-C-execute-builtin-bitops-1 - same transformed reductions
CFP2006/433.milc - better vector code, several x i64 reductions + trunc
to i32 gets trunced to x i32 reductions
ImageProcessing/Blur - same transformed reductions
Benchmarks/7zip - same transformed reductions, extra 4 x vectorization
CINT2006/464.h264ref - same transformed reductions
CINT2017rate/525.x264_r
CINT2017speed/625.x264_s - same transformed reductions
CINT2017speed/600.perlbench_s
CINT2017rate/500.perlbench_r - transformed same reduction
JM/lencod - extra 4 x vectorization

RISC-V, SiFive-p670, -O3+LTO

Metric: size..text

Program                                                                                           size..text
                                                                                                  results    results0   diff
test-suite :: SingleSource/Regression/C/gcc-c-torture/execute/GCC-C-execute-builtin-bitops-1.test    8990.00    9514.00   5.8%
                                test-suite :: External/SPEC/CINT2006/464.h264ref/464.h264ref.test  588504.00  588488.00  -0.0%
                    test-suite :: MultiSource/Benchmarks/MiBench/consumer-lame/consumer-lame.test  147464.00  147440.00  -0.0%
              test-suite :: MultiSource/Benchmarks/MiBench/automotive-susan/automotive-susan.test   21496.00   21492.00  -0.0%
                                     test-suite :: MicroBenchmarks/ImageProcessing/Blur/blur.test  165420.00  165372.00  -0.0%
                                    test-suite :: MultiSource/Benchmarks/7zip/7zip-benchmark.test  843928.00  843648.00  -0.0%
                                    test-suite :: External/SPEC/CINT2006/458.sjeng/458.sjeng.test  100712.00  100672.00  -0.0%
                      test-suite :: MultiSource/Benchmarks/MiBench/telecomm-gsm/telecomm-gsm.test   24384.00   24336.00  -0.2%
                             test-suite :: MultiSource/Benchmarks/mediabench/gsm/toast/toast.test   24380.00   24332.00  -0.2%
             test-suite :: SingleSource/UnitTests/Vectorizer/VPlanNativePath/outer-loop-vect.test   10348.00   10316.00  -0.3%
                                 test-suite :: SingleSource/Benchmarks/Adobe-C++/loop_unroll.test  221304.00  220480.00  -0.4%
                      test-suite :: SingleSource/Benchmarks/Shootout-C++/Shootout-C++-matrix.test    3750.00    3736.00  -0.4%
                            test-suite :: SingleSource/Regression/C/Regression-C-DuffsDevice.test     678.00     370.00 -45.4%

execute/GCC-C-execute-builtin-bitops-1 - extra 4 x reductions, same
transformed reductions
CINT2006/464.h264ref - extra 4 x reductions, same transformed reductions
MiBench/consumer-lame - 2 4 x i1 merged to 8 x i1 reductions (bitcast + ctpop)
MiBench/automotive-susan - same transformed reductions
ImageProcessing/Blur - same transformed reductions
Benchmarks/7zip - same transformed reductions
CINT2006/458.sjeng - 2 4 x i1 merged to 8 x i1 reductions (bitcast + ctpop)
MiBench/telecomm-gsm - same transformed reductions
Benchmarks/mediabench - same transformed reductions
Vectorizer/VPlanNativePath - same transformed reductions
Adobe-C++/loop_unroll - extra 4 x reductions, same transformed reductions
Benchmarks/Shootout-C++ - extra 4 x reductions, same transformed reductions
Regression/C/Regression-C-DuffsDevice - same transformed reductions

Reviewers: hiraditya, topperc, preames

Pull Request: https://github.com/llvm/llvm-project/pull/118293
2025-02-14 11:03:33 -08:00
Alexey Bataev
40029800e7 Revert "[SLP]Improved reduction cost/codegen"
This reverts commit 7ec60bf0166519317b5ae2505dd6ed4660e3ea39 to fix
a bug reported in https://github.com/llvm/llvm-project/issues/127220.
2025-02-14 10:18:07 -08:00
Alexey Bataev
7ec60bf016 [SLP]Improved reduction cost/codegen
SLP vectorizer is able to combine several reductions from the list of
(potentially) reduced values with the different opcodes/values kind.
Currently, these reductions are handled independently of each other. But
instead the compiler can combine them into wide vector operations and
then perform only single reduction.
E.g, if the SLP vectorizer emits currently something like:
```
%r1 = reduce.add(<4 x i32> %v1)
%r2 = reduce.add(<4 x i32> %v2)
%r = add i32 %r1, %r2
```

it can be emitted as:
```
%v = add <4 x i32> %v1, %v2
%r = reduce.add(<4 x i32> %v)
```

It allows to improve the performance in some cases.

AVX512, -O3+LTO
Metric: size..text

Program                                                                                           size..text
                                                                                                  results     results0    diff
                      test-suite :: SingleSource/Benchmarks/Shootout-C++/Shootout-C++-matrix.test     4553.00     4615.00  1.4%
                                 test-suite :: SingleSource/Benchmarks/Adobe-C++/loop_unroll.test   412708.00   416820.00  1.0%
        test-suite :: SingleSource/UnitTests/Vector/AVX512BWVL/Vector-AVX512BWVL-mask_set_bw.test    12901.00    12981.00  0.6%
                        test-suite :: MultiSource/Benchmarks/FreeBench/fourinarow/fourinarow.test    22717.00    22813.00  0.4%
                             test-suite :: MultiSource/Benchmarks/mediabench/gsm/toast/toast.test    39722.00    39850.00  0.3%
                      test-suite :: MultiSource/Benchmarks/MiBench/telecomm-gsm/telecomm-gsm.test    39725.00    39853.00  0.3%
test-suite :: SingleSource/Regression/C/gcc-c-torture/execute/GCC-C-execute-builtin-bitops-1.test    15918.00    15967.00  0.3%
                                       test-suite :: External/SPEC/CFP2006/433.milc/433.milc.test   155491.00   155587.00  0.1%
                                     test-suite :: MicroBenchmarks/ImageProcessing/Blur/blur.test   227894.00   227942.00  0.0%
                                    test-suite :: MultiSource/Benchmarks/7zip/7zip-benchmark.test  1062188.00  1062364.00  0.0%
                                test-suite :: External/SPEC/CINT2006/464.h264ref/464.h264ref.test   793672.00   793720.00  0.0%
                              test-suite :: External/SPEC/CINT2017rate/525.x264_r/525.x264_r.test   657371.00   657403.00  0.0%
                             test-suite :: External/SPEC/CINT2017speed/625.x264_s/625.x264_s.test   657371.00   657403.00  0.0%
                   test-suite :: External/SPEC/CINT2017speed/600.perlbench_s/600.perlbench_s.test  2074917.00  2074933.00  0.0%
                    test-suite :: External/SPEC/CINT2017rate/500.perlbench_r/500.perlbench_r.test  2074917.00  2074933.00  0.0%
                                     test-suite :: MultiSource/Applications/JM/lencod/lencod.test   855219.00   855203.00 -0.0%

Benchmarks/Shootout-C++ - same transformed reduction
Adobe-C++/loop_unroll - same transformed reductions, new vector code
AVX512BWVL/Vector-AVX512BWVL-mask_set_bw - same transformed reductions
FreeBench/fourinarow - same transformed reductions
MiBench/telecomm-gsm - same transformed reductions
execute/GCC-C-execute-builtin-bitops-1 - same transformed reductions
CFP2006/433.milc - better vector code, several x i64 reductions + trunc
to i32 gets trunced to x i32 reductions
ImageProcessing/Blur - same transformed reductions
Benchmarks/7zip - same transformed reductions, extra 4 x vectorization
CINT2006/464.h264ref - same transformed reductions
CINT2017rate/525.x264_r
CINT2017speed/625.x264_s - same transformed reductions
CINT2017speed/600.perlbench_s
CINT2017rate/500.perlbench_r - transformed same reduction
JM/lencod - extra 4 x vectorization

RISC-V, SiFive-p670, -O3+LTO

Metric: size..text

Program                                                                                           size..text
                                                                                                  results    results0   diff
test-suite :: SingleSource/Regression/C/gcc-c-torture/execute/GCC-C-execute-builtin-bitops-1.test    8990.00    9514.00   5.8%
                                test-suite :: External/SPEC/CINT2006/464.h264ref/464.h264ref.test  588504.00  588488.00  -0.0%
                    test-suite :: MultiSource/Benchmarks/MiBench/consumer-lame/consumer-lame.test  147464.00  147440.00  -0.0%
              test-suite :: MultiSource/Benchmarks/MiBench/automotive-susan/automotive-susan.test   21496.00   21492.00  -0.0%
                                     test-suite :: MicroBenchmarks/ImageProcessing/Blur/blur.test  165420.00  165372.00  -0.0%
                                    test-suite :: MultiSource/Benchmarks/7zip/7zip-benchmark.test  843928.00  843648.00  -0.0%
                                    test-suite :: External/SPEC/CINT2006/458.sjeng/458.sjeng.test  100712.00  100672.00  -0.0%
                      test-suite :: MultiSource/Benchmarks/MiBench/telecomm-gsm/telecomm-gsm.test   24384.00   24336.00  -0.2%
                             test-suite :: MultiSource/Benchmarks/mediabench/gsm/toast/toast.test   24380.00   24332.00  -0.2%
             test-suite :: SingleSource/UnitTests/Vectorizer/VPlanNativePath/outer-loop-vect.test   10348.00   10316.00  -0.3%
                                 test-suite :: SingleSource/Benchmarks/Adobe-C++/loop_unroll.test  221304.00  220480.00  -0.4%
                      test-suite :: SingleSource/Benchmarks/Shootout-C++/Shootout-C++-matrix.test    3750.00    3736.00  -0.4%
                            test-suite :: SingleSource/Regression/C/Regression-C-DuffsDevice.test     678.00     370.00 -45.4%

execute/GCC-C-execute-builtin-bitops-1 - extra 4 x reductions, same
transformed reductions
CINT2006/464.h264ref - extra 4 x reductions, same transformed reductions
MiBench/consumer-lame - 2 4 x i1 merged to 8 x i1 reductions (bitcast + ctpop)
MiBench/automotive-susan - same transformed reductions
ImageProcessing/Blur - same transformed reductions
Benchmarks/7zip - same transformed reductions
CINT2006/458.sjeng - 2 4 x i1 merged to 8 x i1 reductions (bitcast + ctpop)
MiBench/telecomm-gsm - same transformed reductions
Benchmarks/mediabench - same transformed reductions
Vectorizer/VPlanNativePath - same transformed reductions
Adobe-C++/loop_unroll - extra 4 x reductions, same transformed reductions
Benchmarks/Shootout-C++ - extra 4 x reductions, same transformed reductions
Regression/C/Regression-C-DuffsDevice - same transformed reductions

Reviewers: hiraditya, topperc, preames

Pull Request: https://github.com/llvm/llvm-project/pull/118293
2025-02-14 05:15:29 -08:00
Alexey Bataev
afa3c10de7 Revert "[SLP]Improved reduction cost/codegen"
This reverts commit 2ad816648f2719e6c0da507a1a371f2cad4a3f1c to fix
bug/miscompiles, reported in
https://github.com/llvm/llvm-project/pull/118293#issuecomment-2658906033
and https://github.com/llvm/llvm-project/pull/118293#issuecomment-2659024785.
2025-02-14 04:12:47 -08:00
Alexey Bataev
2ad816648f
[SLP]Improved reduction cost/codegen
SLP vectorizer is able to combine several reductions from the list of
(potentially) reduced values with the different opcodes/values kind.
Currently, these reductions are handled independently of each other. But
instead the compiler can combine them into wide vector operations and
then perform only single reduction.
E.g, if the SLP vectorizer emits currently something like:
```
%r1 = reduce.add(<4 x i32> %v1)
%r2 = reduce.add(<4 x i32> %v2)
%r = add i32 %r1, %r2
```

it can be emitted as:
```
%v = add <4 x i32> %v1, %v2
%r = reduce.add(<4 x i32> %v)
```

It allows to improve the performance in some cases.

AVX512, -O3+LTO
Metric: size..text

Program                                                                                           size..text
                                                                                                  results     results0    diff
                      test-suite :: SingleSource/Benchmarks/Shootout-C++/Shootout-C++-matrix.test     4553.00     4615.00  1.4%
                                 test-suite :: SingleSource/Benchmarks/Adobe-C++/loop_unroll.test   412708.00   416820.00  1.0%
        test-suite :: SingleSource/UnitTests/Vector/AVX512BWVL/Vector-AVX512BWVL-mask_set_bw.test    12901.00    12981.00  0.6%
                        test-suite :: MultiSource/Benchmarks/FreeBench/fourinarow/fourinarow.test    22717.00    22813.00  0.4%
                             test-suite :: MultiSource/Benchmarks/mediabench/gsm/toast/toast.test    39722.00    39850.00  0.3%
                      test-suite :: MultiSource/Benchmarks/MiBench/telecomm-gsm/telecomm-gsm.test    39725.00    39853.00  0.3%
test-suite :: SingleSource/Regression/C/gcc-c-torture/execute/GCC-C-execute-builtin-bitops-1.test    15918.00    15967.00  0.3%
                                       test-suite :: External/SPEC/CFP2006/433.milc/433.milc.test   155491.00   155587.00  0.1%
                                     test-suite :: MicroBenchmarks/ImageProcessing/Blur/blur.test   227894.00   227942.00  0.0%
                                    test-suite :: MultiSource/Benchmarks/7zip/7zip-benchmark.test  1062188.00  1062364.00  0.0%
                                test-suite :: External/SPEC/CINT2006/464.h264ref/464.h264ref.test   793672.00   793720.00  0.0%
                              test-suite :: External/SPEC/CINT2017rate/525.x264_r/525.x264_r.test   657371.00   657403.00  0.0%
                             test-suite :: External/SPEC/CINT2017speed/625.x264_s/625.x264_s.test   657371.00   657403.00  0.0%
                   test-suite :: External/SPEC/CINT2017speed/600.perlbench_s/600.perlbench_s.test  2074917.00  2074933.00  0.0%
                    test-suite :: External/SPEC/CINT2017rate/500.perlbench_r/500.perlbench_r.test  2074917.00  2074933.00  0.0%
                                     test-suite :: MultiSource/Applications/JM/lencod/lencod.test   855219.00   855203.00 -0.0%

Benchmarks/Shootout-C++ - same transformed reduction
Adobe-C++/loop_unroll - same transformed reductions, new vector code
AVX512BWVL/Vector-AVX512BWVL-mask_set_bw - same transformed reductions
FreeBench/fourinarow - same transformed reductions
MiBench/telecomm-gsm - same transformed reductions
execute/GCC-C-execute-builtin-bitops-1 - same transformed reductions
CFP2006/433.milc - better vector code, several x i64 reductions + trunc
to i32 gets trunced to x i32 reductions
ImageProcessing/Blur - same transformed reductions
Benchmarks/7zip - same transformed reductions, extra 4 x vectorization
CINT2006/464.h264ref - same transformed reductions
CINT2017rate/525.x264_r
CINT2017speed/625.x264_s - same transformed reductions
CINT2017speed/600.perlbench_s
CINT2017rate/500.perlbench_r - transformed same reduction
JM/lencod - extra 4 x vectorization

RISC-V, SiFive-p670, -O3+LTO

Metric: size..text

Program                                                                                           size..text
                                                                                                  results    results0   diff
test-suite :: SingleSource/Regression/C/gcc-c-torture/execute/GCC-C-execute-builtin-bitops-1.test    8990.00    9514.00   5.8%
                                test-suite :: External/SPEC/CINT2006/464.h264ref/464.h264ref.test  588504.00  588488.00  -0.0%
                    test-suite :: MultiSource/Benchmarks/MiBench/consumer-lame/consumer-lame.test  147464.00  147440.00  -0.0%
              test-suite :: MultiSource/Benchmarks/MiBench/automotive-susan/automotive-susan.test   21496.00   21492.00  -0.0%
                                     test-suite :: MicroBenchmarks/ImageProcessing/Blur/blur.test  165420.00  165372.00  -0.0%
                                    test-suite :: MultiSource/Benchmarks/7zip/7zip-benchmark.test  843928.00  843648.00  -0.0%
                                    test-suite :: External/SPEC/CINT2006/458.sjeng/458.sjeng.test  100712.00  100672.00  -0.0%
                      test-suite :: MultiSource/Benchmarks/MiBench/telecomm-gsm/telecomm-gsm.test   24384.00   24336.00  -0.2%
                             test-suite :: MultiSource/Benchmarks/mediabench/gsm/toast/toast.test   24380.00   24332.00  -0.2%
             test-suite :: SingleSource/UnitTests/Vectorizer/VPlanNativePath/outer-loop-vect.test   10348.00   10316.00  -0.3%
                                 test-suite :: SingleSource/Benchmarks/Adobe-C++/loop_unroll.test  221304.00  220480.00  -0.4%
                      test-suite :: SingleSource/Benchmarks/Shootout-C++/Shootout-C++-matrix.test    3750.00    3736.00  -0.4%
                            test-suite :: SingleSource/Regression/C/Regression-C-DuffsDevice.test     678.00     370.00 -45.4%

execute/GCC-C-execute-builtin-bitops-1 - extra 4 x reductions, same
transformed reductions
CINT2006/464.h264ref - extra 4 x reductions, same transformed reductions
MiBench/consumer-lame - 2 4 x i1 merged to 8 x i1 reductions (bitcast + ctpop)
MiBench/automotive-susan - same transformed reductions
ImageProcessing/Blur - same transformed reductions
Benchmarks/7zip - same transformed reductions
CINT2006/458.sjeng - 2 4 x i1 merged to 8 x i1 reductions (bitcast + ctpop)
MiBench/telecomm-gsm - same transformed reductions
Benchmarks/mediabench - same transformed reductions
Vectorizer/VPlanNativePath - same transformed reductions
Adobe-C++/loop_unroll - extra 4 x reductions, same transformed reductions
Benchmarks/Shootout-C++ - extra 4 x reductions, same transformed reductions
Regression/C/Regression-C-DuffsDevice - same transformed reductions

Reviewers: hiraditya, topperc, preames

Pull Request: https://github.com/llvm/llvm-project/pull/118293
2025-02-13 10:36:28 -05:00
Simon Pilgrim
5921295dca
Revert "[SLP] getSpillCost - fully populate IntrinsicCostAttributes to improve cost analysis." (#124962)
Reverts llvm/llvm-project#124129 as its currently causing a regression at #124499 - avoids the regression until a proper fix can be added to getSpillCost
2025-01-29 22:17:53 +00:00
Simon Pilgrim
d8cd8d56ea
[SLP] getSpillCost - fully populate IntrinsicCostAttributes to improve cost analysis. (#124129)
We were only constructing the IntrinsicCostAttributes with the arg type info, and not the args themselves, preventing more detailed cost analysis (constant / uniform args etc.)

Just pass the whole IntrinsicInst to the constructor and let it resolve everything it can.

Noticed while having yet another attempt at #63980
2025-01-23 16:57:13 +00:00
Philip Reames
2c7786e94a
Prefer use of 0.0 over -0.0 for fadd reductions w/nsz (in IR) (#106770)
This is a follow up to 924907bc6, and is mostly motivated by consistency
but does include one additional optimization. In general, we prefer 0.0
over -0.0 as the identity value for an fadd. We use that value in
several places, but don't in others. So, let's be consistent and use the
same identity (when nsz allows) everywhere.

This creates a bunch of test churn, but due to 924907bc6, most of that
churn doesn't actually indicate a change in codegen. The exception is
that this change enables the use of 0.0 for nsz, but *not* reasoc, fadd
reductions. Or said differently, it allows the neutral value of an
ordered fadd reduction to be 0.0.
2024-09-03 09:16:37 -07:00
Matt Arsenault
47d831f2c9
TTI: Check legalization cost of min/max ISD nodes (#100514)
Instead of counting the cost of the assumed expansion.

The AMDGPU costs for the i64 case look too high to me.

Preserve default expansion logic
2024-08-08 17:06:11 +04:00
Matt Arsenault
e7630a0d60
AMDGPU: Improve cost handling of canonicalize (#101479) 2024-08-01 19:02:20 +04:00
Matt Arsenault
524795926b
AMDGPU: Enable vectorization of v2f16 copysign (#100799) 2024-07-30 08:48:13 +04:00
Matt Arsenault
3a2ef3a634
AMDGPU: Add some baseline cost model tests (#100797) 2024-07-29 12:13:51 +04:00
Matt Arsenault
01a489133e
AMDGPU: Add baseline test for vectorize of integer min/max (#100513) 2024-07-26 00:45:10 +04:00
Alexey Bataev
70a54bca6f
[SLP]Improve/fix extracts calculations for non-power-of-2 elements.
One of the previous patches introduced initial support for non-power-of-2
number of elements but some parts of the SLP vectorizer still were not
adjusted to handle the costs correctly. Patch fixes it by improving
analysis of the non-power-of-2 number of elements and fixes in the cost
of the extractelements instructions.

Reviewers: RKSimon

Reviewed By: RKSimon

Pull Request: https://github.com/llvm/llvm-project/pull/93213
2024-05-24 09:33:36 -04:00
Alexey Bataev
554c47c8e9 [SLP]Fix undef poison vector values shuffles with poisonous vectors.
If trying to find vector value in shuffling of the extractelements and
one of the vector values is undef value, need to generate real mask value
for such vector and either undef vector, or incoming second vector, if
  non-poisonous.
2024-05-22 10:41:57 -07:00
Jeffrey Byrnes
ea43a30899
[AMDGPU] Vectorize more 16 bit shuffles (#90648)
In the case of larger vectors, we should still prefer the vectorized
version (i.e. shufflevector vs extract/insert chains).

In arithmetic chains, vectorization results in chains of packed math
instructions (as opposed to unpack/repack & scalarized arithmetic):
https://godbolt.org/z/c5onaf6G5

In chains with PHIs, vectorization again removes the unnecessary pack /
repack code around BBs: https://godbolt.org/z/vz7zYzvhs
2024-05-21 09:21:36 -07:00
Nikita Popov
a5f3415533 [InstCombine] Replace non-demanded undef vector with poison
If an operand (esp to shufflevector or insertelement) is not
demanded, canonicalize it from undef to poison.
2023-12-18 16:12:37 +01:00
Alexey Bataev
019aee8327 [SLP]Improve costs in computeExtractCost() to avoid crash after D158449.
Need to consider the length of the original vector for extractelements,
not the length, matched number of the scalars. It fixes 2 issues: 1)
improves cost estimation; 2) Fixes crashes after D158449.
2023-09-29 07:48:02 -07:00
Hans Wennborg
06f3b0ed43 Revert "[SLP]Improve costs in computeExtractCost() to avoid crash after D158449."
This caused asserts:

  Assertion failed: NumElts > 1 && "Expected at least 2-element fixed length vector(s).",
  file C:\b\s\w\ir\cache\builder\src\third_party\llvm\llvm\lib\Transforms\Vectorize\SLPVectorizer.cpp, line 7096

see comment on 59a67ea35d

> Need to consider the length of the original vector for extractelements,
> not the length, matched number of the scalars. It fixes 2 issues: 1)
> improves cost estimation; 2) Fixes crashes after D158449.

This reverts commit 59a67ea35d608480257fc64ec3e5106ef50de740.
2023-09-29 10:42:19 +02:00
Alexey Bataev
59a67ea35d [SLP]Improve costs in computeExtractCost() to avoid crash after D158449.
Need to consider the length of the original vector for extractelements,
not the length, matched number of the scalars. It fixes 2 issues: 1)
improves cost estimation; 2) Fixes crashes after D158449.
2023-09-28 09:36:08 -07:00
David Spickett
8f548610a6 Revert "[SLP]Use source vector type as the original vector type instead of"
This reverts commit 9a99944df068b29b905cd8ba9a2132cc6382b6fb.

Due to test suite failures on all our SVE buildbots e.g.:
https://lab.llvm.org/buildbot/#/builders/184/builds/7375

clang: ../llvm/llvm/lib/Target/AArch64/AArch64TargetTransformInfo.cpp:3565:
InstructionCost llvm::AArch64TTIImpl::getShuffleCost(TTI::ShuffleKind,
VectorType *, ArrayRef<int>, TTI::TargetCostKind, int, VectorType *,
ArrayRef<const Value *>): Assertion `Mask.size() == TpNumElts && "Expected Mask and Tp size to match!"' failed.
2023-09-22 07:52:16 +00:00
Alexey Bataev
9a99944df0 [SLP]Use source vector type as the original vector type instead of
artificial for better cost estimation.

Need to use original source vector type, not the one artificially
constructed, based on the number of vectorized scalars. It affect the
cost significantly.
2023-09-21 11:34:02 -07:00
Alexey Bataev
9a207578ac [TTI]Add InsertSubvector pattern in improveShuffleKindFromMask().
It improves shuffle instructions estimation and improves vectorization
outcome.

Differential Revision: https://reviews.llvm.org/D157425
2023-08-18 13:47:01 -07:00
Tobias Hieta
f84bac329b
[NFC][Py Reformat] Reformat lit.local.cfg python files in llvm
This is a follow-up to b71edfaa4ec3c998aadb35255ce2f60bba2940b0
since I forgot the lit.local.cfg files in that one.

Reformatting is done with `black`.

If you end up having problems merging this commit because you
have made changes to a python file, the best way to handle that
is to run git checkout --ours <yourfile> and then reformat it
with black.

If you run into any problems, post to discourse about it and
we will try to help.

RFC Thread below:

https://discourse.llvm.org/t/rfc-document-and-standardize-python-code-style

Reviewed By: barannikov88, kwk

Differential Revision: https://reviews.llvm.org/D150762
2023-05-17 17:03:15 +02:00
Krzysztof Drewniak
f0415f2a45 Re-land "[AMDGPU] Define data layout entries for buffers""
Re-land D145441 with data layout upgrade code fixed to not break OpenMP.

This reverts commit 3f2fbe92d0f40bcb46db7636db9ec3f7e7899b27.

Differential Revision: https://reviews.llvm.org/D149776
2023-05-03 19:43:56 +00:00
Krzysztof Drewniak
3f2fbe92d0 Revert "[AMDGPU] Define data layout entries for buffers"
This reverts commit f9c1ede2543b37fabe9f2d8f8fed5073c475d850.

Differential Revision: https://reviews.llvm.org/D149758
2023-05-03 16:11:00 +00:00
Krzysztof Drewniak
f9c1ede254 [AMDGPU] Define data layout entries for buffers
Per discussion at
https://discourse.llvm.org/t/representing-buffer-descriptors-in-the-amdgpu-target-call-for-suggestions/68798,
we define two new address spaces for AMDGCN targets.

The first is address space 7, a non-integral address space (which was
already in the data layout) that has 160-bit pointers (which are
256-bit aligned) and uses a 32-bit offset. These pointers combine a
128-bit buffer descriptor and a 32-bit offset, and will be usable with
normal LLVM operations (load, store, GEP). However, they will be
rewritten out of existence before code generation.

The second of these is address space 8, the address space for "buffer
resources". These will be used to represent the resource arguments to
buffer instructions, and new buffer intrinsics will be defined that
take them instead of <4 x i32> as resource arguments. ptr
addrspace(8). These pointers are 128-bits long (with the same
alignment). They must not be used as the arguments to getelementptr or
otherwise used in address computations, since they can have
arbitrarily complex inherent addressing semantics that can't be
represented in LLVM. Even though, like their address space 7 cousins,
these pointers have deterministic ptrtoint/inttoptr semantics, they
are defined to be non-integral in order to prevent optimizations that
rely on pointers being a [0, [addr_max]] value from applying to them.

Future work includes:
- Defining new buffer intrinsics that take ptr addrspace(8) resources.
- A late rewrite to turn address space 7 operations into buffer
intrinsics and offset computations.

This commit also updates the "fallback address space" for buffer
intrinsics to the buffer resource, and updates the alias analysis
table.

Depends on D143437

Reviewed By: arsenm

Differential Revision: https://reviews.llvm.org/D145441
2023-05-03 15:25:58 +00:00
ManuelJBrito
8b56da5e9f [IR] Change shufflevector undef mask to poison
With this patch an undefined mask in a shufflevector will be printed as poison.
This change is done to support the new shufflevector semantics
for undefined mask elements.

Differential Revision: https://reviews.llvm.org/D149210
2023-04-27 14:41:10 +01:00
Alexey Bataev
93a9be0cea [SLP]Initial support for reshuffling of non-starting buildvector/gather nodes.
Previously only the very first gather/buildvector node might be probed for reshuffling of other nodes.
But the compiler may do the same for other gather/buildvector nodes too, just need to check the
dependency and postpone the emission of the dependent nodes, if the origin nodes were not emitted yet.

Part of D110978

Differential Revision: https://reviews.llvm.org/D144958
2023-03-10 13:19:43 -08:00
Hans Wennborg
3b3a4c270b Revert "[SLP]Initial support for reshuffling of non-starting buildvector/gather nodes."
This caused verifier errors:

  Instruction does not dominate all uses!
    %8 = insertelement <2 x i64> %7, i64 %pgocount1330, i64 1
    %15 = shufflevector <2 x i64> %8, <2 x i64> poison, <2 x i32> <i32 1, i32 1>
  in function ?NearestInclusiveAncestorAssignedToSlot@SlotScopedTraversal@blink@@SAPAVElement@2@ABV32@@Z

(or register allocator crash when the verifier was disabled).

See comment on the code review.

> Previously only the very first gather/buildvector node might be probed for reshuffling of other nodes.
> But the compiler may do the same for other gather/buildvector nodes too, just need to check the
> dependency and postpone the emission of the dependent nodes, if the origin nodes were not emitted yet.
>
> Part of D110978
>
> Differential Revision: https://reviews.llvm.org/D144958

This reverts commit a611b3f3059e4c3b9e7b914091c3edaef099fd5d.
It also reverts 7a4061ae372b3262703ffeea3b64db89187db611 which depended on the above.
2023-03-10 14:40:12 +01:00
Alexey Bataev
a611b3f305 [SLP]Initial support for reshuffling of non-starting buildvector/gather nodes.
Previously only the very first gather/buildvector node might be probed for reshuffling of other nodes.
But the compiler may do the same for other gather/buildvector nodes too, just need to check the
dependency and postpone the emission of the dependent nodes, if the origin nodes were not emitted yet.

Part of D110978

Differential Revision: https://reviews.llvm.org/D144958
2023-03-07 12:45:40 -08:00
Nikita Popov
580210a0c9 [SLP] Convert some tests to opaque pointers (NFC) 2022-12-23 10:02:57 +01:00
Roman Lebedev
6697140ba1
[NFC] Port all SLPVectorizer tests to -passes= syntax 2022-12-07 21:44:09 +03:00
Alexey Bataev
b505fd559d [SLP]Redesign vectorization of the gather nodes.
Gather nodes are vectorized as simply vector of the scalars instead of
relying on the actual node. It leads to the fact that in some cases
we may miss incorrect transformation (non-matching set of scalars is
just ended as a gather node instead of possible vector/gather node).
Better to rely on the actual nodes, it allows to improve stability and
better detect missed cases.

Differential Revision: https://reviews.llvm.org/D135174
2022-11-10 10:59:54 -08:00
skc7
42bce72536 Reapply "[SLP] Extend reordering data of tree entry to support PHInodes".
Reapplies 87a2086 (which was reverted in 656f1d8).
Fix for scalable vectors in getInsertIndex merged in 46d53f4.

Reviewed By: ABataev

Differential Revision: https://reviews.llvm.org/D137537
2022-11-08 21:21:28 +05:30
Alexey Bataev
ecd0b5a532 Revert "[SLP]Redesign vectorization of the gather nodes."
This reverts commit 8ddd1ccdf89317be1c40fa9183e214878a56151e to fix
buildbots failures reported in https://lab.llvm.org/buildbot#builders/74/builds/14839
2022-11-07 08:35:21 -08:00
Alexey Bataev
8ddd1ccdf8 [SLP]Redesign vectorization of the gather nodes.
Gather nodes are vectorized as simply vector of the scalars instead of
relying on the actual node. It leads to the fact that in some cases
we may miss incorrect transformation (non-matching set of scalars is
just ended as a gather node instead of possible vector/gather node).
Better to rely on the actual nodes, it allows to improve stability and
better detect missed cases.

Differential Revision: https://reviews.llvm.org/D135174
2022-11-07 07:04:38 -08:00
David Green
656f1d8b74 Revert "[SLP] Extend reordering data of tree entry to support PHI nodes"
This reverts commit 87a20868eb2043420d48f591c3437472f7137834 as it has
problems with scalable vectors and use-list orders. Test to follow.
2022-11-06 11:43:51 +00:00