Previous implementation may took some extra time, when walked over the
same instructions several times. And also it did not include proper
analysis for cross-basic-block use of the vectorized values. This
version fixes it.
It walks over the tree and checks the deps between entries and their
operands. If there are non-vectorized calls in between, it adds
a single(!) spill cost, because the vector value should be
spilled/reloaded only once.
Also, this version caches analysis for each entries, which are detected,
and do not repeats it, uses data, found during previous analysis for
previous nodes.
Also, it has the internal limit. If the number of instructions
between nodes and their operands is too big (> than ScheduleRegionSizeBudget / VectorizableTree.size()), it is considered that the spill is required. It allows to improve compile time.
Reviewers: preames, RKSimon, mikhailramalho
Reviewed By: preames
Pull Request: https://github.com/llvm/llvm-project/pull/129258
With a fix for fully undef masks. These can't reach the lowering code, but
can reach the costing code via e.g. SLP.
This change adds the TTI costing corresponding to the recently added
isMaskedSlidePair lowering for vector shuffles. However, since the
existing costing code hadn't covered either slideup, slidedown, or the
(now removed) isElementRotate, the impact is larger in scope than just
that new lowering.
---------
Co-authored-by: Alexey Bataev <a.bataev@gmx.com>
Co-authored-by: Luke Lau <luke_lau@icloud.com>
This change adds the TTI costing corresponding to the recently added
isMaskedSlidePair lowering for vector shuffles. However, since the
existing costing code hadn't covered either slideup, slidedown, or the
(now removed) isElementRotate, the impact is larger in scope than just
that new lowering.
---------
Co-authored-by: Alexey Bataev <a.bataev@gmx.com>
Co-authored-by: Luke Lau <luke_lau@icloud.com>
This patch updates the cost model for fmuladd on vector types to scale with LMUL. This was found when analyzing a hot loop in 519.lbm_r that was unprofitably vectorized, but doesn't directly impact that case and is split off so it doesn't get forgotten.
Unlike other FP arithmetic ops, it's not scaled by 2 because the scalar cost isn't scaled by 2.
If the calls won't be vectorized, but will be scalarized after
vectorization, they should be build as buildvector nodes, not vector
nodes. Vectorization of such calls leads to incorrect cost estimation,
does not allow to calculate correctly spills costs.
Reviewers: lukel97, preames
Reviewed By: preames
Pull Request: https://github.com/llvm/llvm-project/pull/125070
Patch tries to remove wide alternate operations.
Currently SLP vectorizer emits something like this:
```
%0 = add i32
%1 = sub i32
%2 = add i32
%3 = sub i32
%4 = add i32
%5 = sub i32
%6 = add i32
%7 = sub i32
transformes to
%v1 = add <8 x i32>
%v2 = sub <8 x i32>
%res = shuffle %v1, %v2, <0, 9, 2, 11, 4, 13, 6, 15>
```
i.e. half of the results are just unused. This leads to increased
register pressure and potentially doubles number of operations.
Patch introduces SplitVectorize mode, where it splits the operations by
opcodes and produces instead something like this:
```
%v1 = add <4 x i32>
%v2 = sub <4 x i32>
%res = shuffle %v1, %v2, <0, 4, 1, 5, 2, 6, 3, 7>
```
It allows to improve the performance by reducing number of ops. Also, it
turns on some other improvements, like improved graph reordering.
-O3+LTO, AVX512
Metric: size..text
Program size..text
results results0 diff
test-suite :: MultiSource/Benchmarks/Prolangs-C/TimberWolfMC/timberwolfmc.test 277800.00 280536.00 1.0%
test-suite :: MultiSource/Benchmarks/FreeBench/pifft/pifft.test 81802.00 82426.00 0.8%
test-suite :: External/SPEC/CINT2006/464.h264ref/464.h264ref.test 790552.00 790952.00 0.1%
test-suite :: MultiSource/Applications/JM/ldecod/ldecod.test 383795.00 383987.00 0.1%
test-suite :: External/SPEC/CINT2017speed/600.perlbench_s/600.perlbench_s.test 2075541.00 2076501.00 0.0%
test-suite :: External/SPEC/CINT2017rate/500.perlbench_r/500.perlbench_r.test 2075541.00 2076501.00 0.0%
test-suite :: MultiSource/Benchmarks/Bullet/bullet.test 312702.00 312766.00 0.0%
test-suite :: External/SPEC/CFP2017rate/526.blender_r/526.blender_r.test 12569783.00 12569751.00 -0.0%
test-suite :: External/SPEC/CFP2017rate/510.parest_r/510.parest_r.test 2049374.00 2049358.00 -0.0%
test-suite :: External/SPEC/CINT2006/400.perlbench/400.perlbench.test 1091836.00 1091772.00 -0.0%
test-suite :: MultiSource/Applications/JM/lencod/lencod.test 852339.00 852211.00 -0.0%
test-suite :: MultiSource/Applications/oggenc/oggenc.test 190651.00 190523.00 -0.1%
test-suite :: MultiSource/Benchmarks/DOE-ProxyApps-C/miniGMG/miniGMG.test 44203.00 44155.00 -0.1%
test-suite :: SingleSource/UnitTests/Vector/AVX512BWVL/Vector-AVX512BWVL-mask_set_bw.test 12997.00 12981.00 -0.1%
test-suite :: External/SPEC/CINT2017speed/625.x264_s/625.x264_s.test 668971.00 658427.00 -1.6%
test-suite :: External/SPEC/CINT2017rate/525.x264_r/525.x264_r.test 668971.00 658427.00 -1.6%
Prolangs-C/TimberWolfMC/timberwolfmc - small variations, some code not
inlined
FreeBench/pifft - extra stores <8 x double> vectorized, some other extra
vectorizations
CINT2006/464.h264ref - some smaller code + changes similar to x264
JM/ldecod - changes similar x264
CINT2017speed/600.perlbench_s
CINT2017rate/500.perlbench_r - significantly compact vector code
Benchmarks/Bullet - small variations
CFP2017rate/526.blender_r - small variations
CFP2017rate/510.parest_r - small variations
CINT2006/400.perlbench - extra vector code
JM/lencod - extra store <16 x i32> and other changes similar x264
Applications/oggenc - extra store <16 x i8>, small variations
DOE-ProxyApps-C/miniGMG - small variations
Vector/AVX512BWVL/Vector-AVX512BWVL-mask_set_bw - better vector code
CINT2017speed/625.x264_s
CINT2017rate/525.x264_r - the number of instructions increased, but
looks like they are more performant. E.g., for function
x264_pixel_satd_8x8, llvm-mca reports better throughput - 84 for the
current version and 59 for the new version.
-O3+LTO, march=rva32u64
CINT2017rate/525.x264_r - similar to x86, extra code in pixel_hadamard_ac
function vectorized, idct4x4dc stopped being vectorized (looks like
issue with shuffles cost)
CINT2006/400.perlbench - better vector code
CINT2006/445.gobmk - some variations in vector code
CINT2006/464.h264ref - extra code vectorized
CINT2017rate/500.perlbench_r - small variations
-O3+LTO, mcpu=sifive-p470
Metric: size..text
Program size..text
results results0 diff
test-suite :: External/SPEC/CINT2006/464.h264ref/464.h264ref.test 587336.00 587668.00 0.1%
test-suite :: MultiSource/Applications/JM/lencod/lencod.test 643308.00 643614.00 0.0%
test-suite :: MultiSource/Applications/d/make_dparser.test 79678.00 79710.00 0.0%
test-suite :: MultiSource/Benchmarks/Bullet/bullet.test 277322.00 277420.00 0.0%
test-suite :: External/SPEC/CINT2006/400.perlbench/400.perlbench.test 933660.00 933682.00 0.0%
test-suite :: External/SPEC/CFP2017rate/526.blender_r/526.blender_r.test 9497722.00 9497682.00 -0.0%
test-suite :: External/SPEC/CINT2017rate/500.perlbench_r/500.perlbench_r.test 1767806.00 1767772.00 -0.0%
test-suite :: External/SPEC/CINT2017speed/600.perlbench_s/600.perlbench_s.test 1767806.00 1767772.00 -0.0%
test-suite :: MultiSource/Benchmarks/MiBench/consumer-lame/consumer-lame.test 148038.00 148024.00 -0.0%
test-suite :: MultiSource/Applications/JM/ldecod/ldecod.test 283036.00 283008.00 -0.0%
test-suite :: MultiSource/Benchmarks/mediabench/g721/g721encode/encode.test 4776.00 4772.00 -0.1%
test-suite :: External/SPEC/CINT2017rate/525.x264_r/525.x264_r.test 540582.00 511772.00 -5.3%
test-suite :: External/SPEC/CINT2017speed/625.x264_s/625.x264_s.test 540582.00 511772.00 -5.3%
CINT2006/464.h264ref - extra vector code in find_sad_16x16
JM/lencod - extra vector code in find_sad_16x16
d/make_dparser - smaller vector code
Benchmarks/Bullet - small variations
CINT2006/400.perlbench - smaller vector code
CFP2017rate/526.blender_r - small variations, extra store <8 x float> in
the loop, extra store <8 x i8> in loop
CINT2017rate/500.perlbench_r
CINT2017speed/600.perlbench_s - small variations
MiBench/consumer-lame - small variations
JM/ldecod - extra vector code
mediabench/g721/g721encode - small variations
CINT2017rate/525.x264_r
CINT2017speed/625.x264_s - reduced number of wide operations and
shuffles, saving the registers, similar to X86, extra code in
pixel_hadamard_ac vectorized, idct4x4dc not vectorized (issue with some
TTI costs)
Reviewers: RKSimon, hiraditya
Reviewed By: RKSimon
Pull Request: https://github.com/llvm/llvm-project/pull/123360
As noted on #124499 - this is currently missing for type-only analysis and was falling back to scalarization for fixed vectors (and failing entirely for scalable vectors)
Patch tries to remove wide alternate operations.
Currently SLP vectorizer emits something like this:
```
%0 = add i32
%1 = sub i32
%2 = add i32
%3 = sub i32
%4 = add i32
%5 = sub i32
%6 = add i32
%7 = sub i32
transformes to
%v1 = add <8 x i32>
%v2 = sub <8 x i32>
%res = shuffle %v1, %v2, <0, 9, 2, 11, 4, 13, 6, 15>
```
i.e. half of the results are just unused. This leads to increased
register pressure and potentially doubles number of operations.
Patch introduces SplitVectorize mode, where it splits the operations by
opcodes and produces instead something like this:
```
%v1 = add <4 x i32>
%v2 = sub <4 x i32>
%res = shuffle %v1, %v2, <0, 4, 1, 5, 2, 6, 3, 7>
```
It allows to improve the performance by reducing number of ops. Also, it
turns on some other improvements, like improved graph reordering.
-O3+LTO, AVX512
Metric: size..text
Program size..text
results results0 diff
test-suite :: MultiSource/Benchmarks/Prolangs-C/TimberWolfMC/timberwolfmc.test 277800.00 280536.00 1.0%
test-suite :: MultiSource/Benchmarks/FreeBench/pifft/pifft.test 81802.00 82426.00 0.8%
test-suite :: External/SPEC/CINT2006/464.h264ref/464.h264ref.test 790552.00 790952.00 0.1%
test-suite :: MultiSource/Applications/JM/ldecod/ldecod.test 383795.00 383987.00 0.1%
test-suite :: External/SPEC/CINT2017speed/600.perlbench_s/600.perlbench_s.test 2075541.00 2076501.00 0.0%
test-suite :: External/SPEC/CINT2017rate/500.perlbench_r/500.perlbench_r.test 2075541.00 2076501.00 0.0%
test-suite :: MultiSource/Benchmarks/Bullet/bullet.test 312702.00 312766.00 0.0%
test-suite :: External/SPEC/CFP2017rate/526.blender_r/526.blender_r.test 12569783.00 12569751.00 -0.0%
test-suite :: External/SPEC/CFP2017rate/510.parest_r/510.parest_r.test 2049374.00 2049358.00 -0.0%
test-suite :: External/SPEC/CINT2006/400.perlbench/400.perlbench.test 1091836.00 1091772.00 -0.0%
test-suite :: MultiSource/Applications/JM/lencod/lencod.test 852339.00 852211.00 -0.0%
test-suite :: MultiSource/Applications/oggenc/oggenc.test 190651.00 190523.00 -0.1%
test-suite :: MultiSource/Benchmarks/DOE-ProxyApps-C/miniGMG/miniGMG.test 44203.00 44155.00 -0.1%
test-suite :: SingleSource/UnitTests/Vector/AVX512BWVL/Vector-AVX512BWVL-mask_set_bw.test 12997.00 12981.00 -0.1%
test-suite :: External/SPEC/CINT2017speed/625.x264_s/625.x264_s.test 668971.00 658427.00 -1.6%
test-suite :: External/SPEC/CINT2017rate/525.x264_r/525.x264_r.test 668971.00 658427.00 -1.6%
Prolangs-C/TimberWolfMC/timberwolfmc - small variations, some code not
inlined
FreeBench/pifft - extra stores <8 x double> vectorized, some other extra
vectorizations
CINT2006/464.h264ref - some smaller code + changes similar to x264
JM/ldecod - changes similar x264
CINT2017speed/600.perlbench_s
CINT2017rate/500.perlbench_r - significantly compact vector code
Benchmarks/Bullet - small variations
CFP2017rate/526.blender_r - small variations
CFP2017rate/510.parest_r - small variations
CINT2006/400.perlbench - extra vector code
JM/lencod - extra store <16 x i32> and other changes similar x264
Applications/oggenc - extra store <16 x i8>, small variations
DOE-ProxyApps-C/miniGMG - small variations
Vector/AVX512BWVL/Vector-AVX512BWVL-mask_set_bw - better vector code
CINT2017speed/625.x264_s
CINT2017rate/525.x264_r - the number of instructions increased, but
looks like they are more performant. E.g., for function
x264_pixel_satd_8x8, llvm-mca reports better throughput - 84 for the
current version and 59 for the new version.
-O3+LTO, march=rva32u64
CINT2017rate/525.x264_r - similar to x86, extra code in pixel_hadamard_ac
function vectorized, idct4x4dc stopped being vectorized (looks like
issue with shuffles cost)
CINT2006/400.perlbench - better vector code
CINT2006/445.gobmk - some variations in vector code
CINT2006/464.h264ref - extra code vectorized
CINT2017rate/500.perlbench_r - small variations
-O3+LTO, mcpu=sifive-p470
Metric: size..text
Program size..text
results results0 diff
test-suite :: External/SPEC/CINT2006/464.h264ref/464.h264ref.test 587336.00 587668.00 0.1%
test-suite :: MultiSource/Applications/JM/lencod/lencod.test 643308.00 643614.00 0.0%
test-suite :: MultiSource/Applications/d/make_dparser.test 79678.00 79710.00 0.0%
test-suite :: MultiSource/Benchmarks/Bullet/bullet.test 277322.00 277420.00 0.0%
test-suite :: External/SPEC/CINT2006/400.perlbench/400.perlbench.test 933660.00 933682.00 0.0%
test-suite :: External/SPEC/CFP2017rate/526.blender_r/526.blender_r.test 9497722.00 9497682.00 -0.0%
test-suite :: External/SPEC/CINT2017rate/500.perlbench_r/500.perlbench_r.test 1767806.00 1767772.00 -0.0%
test-suite :: External/SPEC/CINT2017speed/600.perlbench_s/600.perlbench_s.test 1767806.00 1767772.00 -0.0%
test-suite :: MultiSource/Benchmarks/MiBench/consumer-lame/consumer-lame.test 148038.00 148024.00 -0.0%
test-suite :: MultiSource/Applications/JM/ldecod/ldecod.test 283036.00 283008.00 -0.0%
test-suite :: MultiSource/Benchmarks/mediabench/g721/g721encode/encode.test 4776.00 4772.00 -0.1%
test-suite :: External/SPEC/CINT2017rate/525.x264_r/525.x264_r.test 540582.00 511772.00 -5.3%
test-suite :: External/SPEC/CINT2017speed/625.x264_s/625.x264_s.test 540582.00 511772.00 -5.3%
CINT2006/464.h264ref - extra vector code in find_sad_16x16
JM/lencod - extra vector code in find_sad_16x16
d/make_dparser - smaller vector code
Benchmarks/Bullet - small variations
CINT2006/400.perlbench - smaller vector code
CFP2017rate/526.blender_r - small variations, extra store <8 x float> in
the loop, extra store <8 x i8> in loop
CINT2017rate/500.perlbench_r
CINT2017speed/600.perlbench_s - small variations
MiBench/consumer-lame - small variations
JM/ldecod - extra vector code
mediabench/g721/g721encode - small variations
CINT2017rate/525.x264_r
CINT2017speed/625.x264_s - reduced number of wide operations and
shuffles, saving the registers, similar to X86, extra code in
pixel_hadamard_ac vectorized, idct4x4dc not vectorized (issue with some
TTI costs)
Reviewers: RKSimon, hiraditya
Reviewed By: RKSimon
Pull Request: https://github.com/llvm/llvm-project/pull/123360
getSpill cost relies on def-use order when performs the analysis for the
vectorized instructions live-over-calls spills.
Patch fixes it to check the dependencies based on TreeEntries and
performs actual vectorized type analysis.
Reviewers: RKSimon, preames
Reviewed By: preames
Pull Request: https://github.com/llvm/llvm-project/pull/124984
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
Adds getNumberOfParts and uses it instead of similar code across code
base, fixes analysis of non-vectorizable types in
computeMinimumValueSizes.
Reviewers: RKSimon
Reviewed By: RKSimon
Pull Request: https://github.com/llvm/llvm-project/pull/124774
We have two types of mask in SLP: a scalar mask and a vector mask.
When vectorizing four i32 additions into <4 x i32>, SLP creates a mask
of length 4.
When vectorizing four <2 x i32> additions into <8 x i32>, SLP also
creates a mask of length 4.
We refer to the first case as a scalar mask (because the mask element
represents a scalar, i32), and the second case as a vector mask (because
the mask element represents a vector, <4 x i32>).
At some point, we must convert the scalar mask into a vector mask
(otherwise, calling TTI cost functions or IRBuilderBase functions may
yield incorrect results).
Since both ShuffleCostEstimator and ShuffleInstructionBuilder can modify
the CommonMask, we have decided to perform the mask transformation only
within createShuffle. However, we do not store the transformed result,
as createShuffle may be called multiple times.
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
Need to check if the GEP bases are equal and return false early. Also,
need to return false if the lookup is too deep, considering bases equal
too. Fixes a crash in the assertion.
Adds cost estimation for the variants of the permutations of the scalar
values, used in gather nodes. Currently, SLP just unconditionally emits
shuffles for the reused buildvectors, but in some cases better to leave
them as buildvectors rather than shuffles, if the cost of such
buildvectors is better.
X86, AVX512, -O3+LTO
Metric: size..text
Program size..text
results results0 diff
test-suite :: External/SPEC/CINT2006/445.gobmk/445.gobmk.test 912998.00 913238.00 0.0%
test-suite :: MultiSource/Benchmarks/MiBench/consumer-lame/consumer-lame.test 203070.00 203102.00 0.0%
test-suite :: External/SPEC/CFP2017speed/638.imagick_s/638.imagick_s.test 1396320.00 1396448.00 0.0%
test-suite :: External/SPEC/CFP2017rate/538.imagick_r/538.imagick_r.test 1396320.00 1396448.00 0.0%
test-suite :: MultiSource/Benchmarks/Bullet/bullet.test 309790.00 309678.00 -0.0%
test-suite :: External/SPEC/CFP2017rate/526.blender_r/526.blender_r.test 12477607.00 12470807.00 -0.1%
CINT2006/445.gobmk - extra code vectorized
MiBench/consumer-lame - small variations
CFP2017speed/638.imagick_s
CFP2017rate/538.imagick_r - extra vectorized code
Benchmarks/Bullet - extra code vectorized
CFP2017rate/526.blender_r - extra vector code
RISC-V, sifive-p670, -O3+LTO
CFP2006/433.milc - regressions, should be fixed by https://github.com/llvm/llvm-project/pull/115173
CFP2006/453.povray - extra vectorized code
CFP2017rate/508.namd_r - better vector code
CFP2017rate/510.parest_r - extra vectorized code
SPEC/CFP2017rate - extra/better vector code
CFP2017rate/526.blender_r - extra vectorized code
CFP2017rate/538.imagick_r - extra vectorized code
CINT2006/403.gcc - extra vectorized code
CINT2006/445.gobmk - extra vectorized code
CINT2006/464.h264ref - extra vectorized code
CINT2006/483.xalancbmk - small variations
CINT2017rate/525.x264_r - better vectorization
Reviewers: RKSimon
Reviewed By: RKSimon
Pull Request: https://github.com/llvm/llvm-project/pull/115201
The following shufflevector should not be vectorized when
slp-vectorize-non-power-of-2 is enabled.
shufflevector <8 x float> %1, <8 x float> poison, <3 x i32> <i32 0, i32
1, i32 2>
shufflevector <8 x float> %1, <8 x float> poison, <3 x i32> <i32 4, i32
5, i32 6>
Enables splat support for loads with lanes> 2 or number of operands> 2.
Allows better detect splats of loads and reduces number of shuffles in
some cases.
X86, AVX512, -O3+LTO
Metric: size..text
results results0 diff
test-suite :: External/SPEC/CFP2006/433.milc/433.milc.test 154867.00 156723.00 1.2%
test-suite :: External/SPEC/CFP2017rate/526.blender_r/526.blender_r.test 12467735.00 12468023.00 0.0%
Better vectorization quality
Reviewers: RKSimon
Reviewed By: RKSimon
Pull Request: https://github.com/llvm/llvm-project/pull/115173
Since the stores are sorted by distance, comparing the indices in the
original array and early exit, if the index is less than the index of
the last store, not always the best strategy. Better to remove such
stores explicitly to try better to check for the vectorization
opportunity.
Fixes#115008
This is also split off from the zvfhmin/zvfbfmin
isLegalElementTypeForRVV work.
Enabling this will cause SLP and RISCVGatherScatterLowering to emit
@llvm.experimental.vp.strided.{load,store} intrinsics, and codegen
support for this was added in #109387 and #114750.
