Newly implementd partial loop-unrolling support for RyuJIT by ArtBlnd · Pull Request #19594 · dotnet/coreclr

ArtBlnd · 2018-08-22T04:40:28Z

This will replace PR : #18016

ArtBlnd · 2018-08-22T04:42:17Z

ArtBlnd · 2018-08-23T00:51:38Z

In debug, all my tests in local is passing. and I Checked build is just not passing.
I want to debug crossgenning Checked build's native images from Debug build, Is it possible?

ArtBlnd · 2018-08-23T00:51:47Z

@mikedn

mikedn · 2018-08-23T04:56:05Z

In debug, all my tests in local is passing. and I Checked build is just not passing.

That sounds odd, checked builds are are sort of like debug builds but with compiler optimizations enabled so they're reasonably fast. Usually I use checked builds rather than debug builds, exactly because they're faster.

I want to debug crossgenning Checked build's native images from Debug build, Is it possible?

Hmm, I don't see how you could do that. Obviously, there's something different between builds if tests pass with one build but not with the other.

ArtBlnd · 2018-08-29T02:41:50Z

Ready for review :>

ArtBlnd · 2018-08-29T04:47:36Z

This implements will replace old optimization for loop unrolling. which only support full unrolling with Vector object. the goal is make support for more common cases. which based on GenTree's cost.

following methods will be fixed.

non Vector object limit unrolling
partial unrolling which with inner threshold and iteration threshold
outer loop unrolling is also supported with partial unrolling
merge partial unrolling and full unrolling implements
unrolling support for complicate operator type which contains iteration local variable.

ArtBlnd · 2018-08-29T06:10:40Z

PTAL @mikedn @AndyAyersMS

AndyAyersMS · 2018-08-30T01:50:50Z

@ArtBlnd I'll start taking a look -- but I have a couple of suggestions.

Since you have refactored the existing full unroll logic to also support partial unrolling, can you add in a new jit config option to allow partial unrolling to be enabled / disabled, and then show if partial unrolling is disabled the jit produces the same code as it does now (via jit-diff)? This gives us confidence that nothing important was lost or changed by the refactoring.

I would recommend for now setting the new config option to disable partial unrolling by default, and once we are happy with the refactoring, we can start to explore what happens when we try partial unrolling.

It would also be helpful if you could summarize the strategy you're proposing for partial unrolling (even if parts of it are not yet implemented) and any results you care to highlight, either good or bad. I realize there is some discussion of the strategy in comments but I'd like to see something that abstracts away from the code.

ArtBlnd · 2018-08-30T02:16:56Z

First, thank you for reviewing :>

I don't see anything good case for old full unrolling, even on test cases.
Can you recommend which case that would be great to check that something lost or changed?

ArtBlnd · 2018-08-30T02:24:20Z

It would also be helpful if you could summarize the strategy you're proposing for partial unrolling (even if parts of it are not yet implemented) and any results you care to highlight, either good or bad. I realize there is some discussion of the strategy in comments but I'd like to see something that abstracts away from the code.

At this time. I don't see much problem with it.
But first of all, the overall partial unrolling threshold codes are based on gtSetStmtInfo which computes GenTree's cost. and its based on IR, but every platform do not have the same efficient inner loop unrolling threshold. That can cause performance degradation for some platforms. (it will still better than when its not unrolled. but for code size)

src/jit/optimizer.cpp

AndyAyersMS · 2018-08-30T02:34:13Z

Usually we run diffs over all the test cases, since they're -- for the most part -- not categorized in useful ways. But you can start with just framework assemblies too.

I'd recommend learning how to use jit-diff from the jitutils repo. In particular running jit-diff diff --pmi to see what impact your changes are having on a wide variety of methods.

ArtBlnd · 2018-08-31T01:03:03Z

I've ran all jit-diff on all over testcases.
as I excepted, diff is regression. and here is results

Total bytes of diff: 20356 (0.01% of base)
    diff is a regression.

Top file regressions by size (bytes):
        2356 : JIT\Directed\UnrollLoop\loop2_cs_do\loop2_cs_do.dasm (25.99% of base)
        2020 : JIT\Directed\UnrollLoop\loop2_cs_ro\loop2_cs_ro.dasm (22.88% of base)
        1716 : JIT\HardwareIntrinsics\X86\Avx\Permute2x128.Avx_ro\Permute2x128.Avx_ro.dasm (3.64% of base)
         918 : JIT\jit64\opt\lur\lur_02\lur_02.dasm (33.16% of base)
         901 : JIT\Performance\CodeQuality\Bytemark\Bytemark\Bytemark.dasm (1.05% of base)

Top file improvements by size (bytes):
       -2181 : JIT\SIMD\VectorMul_ro\VectorMul_ro.dasm (-19.26% of base)
        -593 : JIT\SIMD\VectorReturn_ro\VectorReturn_ro.dasm (-4.87% of base)
        -453 : JIT\SIMD\VectorAbs_ro\VectorAbs_ro.dasm (-7.55% of base)
        -453 : JIT\SIMD\VectorAdd_ro\VectorAdd_ro.dasm (-7.46% of base)
        -453 : JIT\SIMD\VectorHWAccel2_ro\VectorHWAccel2_ro.dasm (-9.92% of base)

196 total files with size differences (65 improved, 131 regressed), 8377 unchanged.

Top method regressions by size (bytes):
         716 : JIT\HardwareIntrinsics\X86\Avx\Permute2x128.Avx_ro\Permute2x128.Avx_ro.dasm - JIT.HardwareIntrinsics.X86.SimpleBinaryOpTest__Permute2x128Double2:.ctor():this
         709 : JIT\Directed\intrinsic\pow\pow2_cs_do\pow2_cs_do.dasm - pow2:Main():int
         709 : JIT\Directed\intrinsic\pow\pow2_cs_ro\pow2_cs_ro.dasm - pow2:Main():int
         500 : JIT\HardwareIntrinsics\X86\Avx\Permute2x128.Avx_ro\Permute2x128.Avx_ro.dasm - JIT.HardwareIntrinsics.X86.SimpleBinaryOpTest__Permute2x128Int642:.ctor():this
         500 : JIT\HardwareIntrinsics\X86\Avx\Permute2x128.Avx_ro\Permute2x128.Avx_ro.dasm - JIT.HardwareIntrinsics.X86.SimpleBinaryOpTest__Permute2x128UInt642:.ctor():this

Top method improvements by size (bytes):
       -1274 : JIT\SIMD\VectorMul_ro\VectorMul_ro.dasm - VectorMulTest`1[Int32][System.Int32]:VectorMul(int,int,int,int,int):int
        -554 : JIT\SIMD\VectorMul_ro\VectorMul_ro.dasm - VectorMulTest`1[Double][System.Double]:VectorMul(double,double,double,double,double):int
        -511 : JIT\SIMD\VectorReturn_ro\VectorReturn_ro.dasm - VectorTest:VectorTReturnTest():int
        -283 : JIT\SIMD\CreateGeneric_ro\CreateGeneric_ro.dasm - VectorMathTests.Program:Main(ref):int
        -271 : JIT\SIMD\VectorMul_ro\VectorMul_ro.dasm - VectorMulTest`1[Int64][System.Int64]:VectorMul(long,long,long,long,long):int

801 total methods with size differences (291 improved, 510 regressed), 349685 unchanged.

most of unrolling process needs are regression. and most of improvements are triggered by unrolling. (not really sure) for SIMD optimizations.

I think its generating another instructions for better results(for optimizations) caused from unrolling.

[ADDED] That is actually something wrong with unrolling. It does sometimes do not process full unrolling if target IR has SIMD operator.

ArtBlnd · 2018-08-31T05:05:20Z

failed due to lack of disk space in OSX10.12 x64 Checked test is because of my PR or just really lack of disk space?...

AndyAyersMS · 2018-08-31T14:53:44Z

Probably just some issue with the CI system. Let's retry....

@dotnet-bot retest OSX10.12 x64 Checked Innerloop Build and Test

ArtBlnd · 2018-09-04T05:08:26Z

Analyzing diffs...
Found 237 files with textual diffs.
PMI Diffs for assemblies in C:\coreclr\bin\tests\Windows_NT.x64.Release for  default jit
Summary:
(Lower is better)
Total bytes of diff: 34020 (0.02% of base)
    diff is a regression.
Top file regressions by size (bytes):
        2356 : JIT\Directed\UnrollLoop\loop2_cs_do\loop2_cs_do.dasm (25.99% of base)
        2020 : JIT\Directed\UnrollLoop\loop2_cs_ro\loop2_cs_ro.dasm (22.88% of base)
        1716 : JIT\HardwareIntrinsics\X86\Avx\Permute2x128.Avx_ro\Permute2x128.Avx_ro.dasm (3.64% of base)
         918 : JIT\jit64\opt\lur\lur_02\lur_02.dasm (33.16% of base)
         901 : JIT\Performance\CodeQuality\Bytemark\Bytemark\Bytemark.dasm (1.08% of base)
Top file improvements by size (bytes):
        -294 : JIT\jit64\opt\lim\lim_002\lim_002.dasm (-13.25% of base)
        -244 : JIT\SIMD\VectorMul_ro\VectorMul_ro.dasm (-2.16% of base)
         -93 : JIT\SIMD\VectorReturn_ro\VectorReturn_ro.dasm (-0.76% of base)
         -70 : JIT\Directed\UnrollLoop\loop4_cs_do\loop4_cs_do.dasm (-1.71% of base)
         -70 : JIT\Directed\UnrollLoop\loop4_cs_ro\loop4_cs_ro.dasm (-1.71% of base)
193 total files with size differences (38 improved, 155 regressed), 8381 unchanged.
Top method regressions by size (bytes):
         716 : JIT\HardwareIntrinsics\X86\Avx\Permute2x128.Avx_ro\Permute2x128.Avx_ro.dasm - SimpleBinaryOpTest__Permute2x128Double2:.ctor():this
         709 : JIT\Directed\intrinsic\pow\pow2_cs_do\pow2_cs_do.dasm - pow2:Main():int
         709 : JIT\Directed\intrinsic\pow\pow2_cs_ro\pow2_cs_ro.dasm - pow2:Main():int
         500 : JIT\HardwareIntrinsics\X86\Avx\Permute2x128.Avx_ro\Permute2x128.Avx_ro.dasm - SimpleBinaryOpTest__Permute2x128Int642:.ctor():this
         500 : JIT\HardwareIntrinsics\X86\Avx\Permute2x128.Avx_ro\Permute2x128.Avx_ro.dasm - SimpleBinaryOpTest__Permute2x128UInt642:.ctor():this
Top method improvements by size (bytes):
        -108 : JIT\SIMD\VectorMul_ro\VectorMul_ro.dasm - VectorMulTest`1:VectorMul(double,double,double,double,double):int
         -93 : JIT\SIMD\VectorReturn_ro\VectorReturn_ro.dasm - VectorTest:VectorTReturnTest():int
         -75 : JIT\SIMD\VectorMul_ro\VectorMul_ro.dasm - VectorMulTest`1:VectorMul(int,int,int,int,int):int
         -70 : JIT\Directed\UnrollLoop\loop4_cs_do\loop4_cs_do.dasm - SmallLoop1:Main():int
         -70 : JIT\Directed\UnrollLoop\loop4_cs_ro\loop4_cs_ro.dasm - SmallLoop1:Main():int
757 total methods with size differences (202 improved, 555 regressed), 302016 unchanged.
44 files had text diffs but not size diffs.
JIT\Performance\CodeQuality\SIMD\SeekUnroll\SeekUnroll\SeekUnroll.dasm had 72 diffs
JIT\SIMD\VectorGet_ro\VectorGet_ro.dasm had 60 diffs
JIT\SIMD\VectorDiv_ro\VectorDiv_ro.dasm had 58 diffs
JIT\SIMD\VectorMax_ro\VectorMax_ro.dasm had 56 diffs
JIT\SIMD\VectorMin_ro\VectorMin_ro.dasm had 56 diffs
Completed analysis in 416.03s

https://1drv.ms/u/s!Avjm8UvmA5M9gdMAs4KlE0rH5c3M2A

Here is full test jit-diff with PR. Can you check it? @AndyAyersMS

[ADDED] I've check that improvements are really triggered by optimizer(useless codes are removed by unrolling) not full unrolling isn't triggered

something like this. but still doesn't know why that cmp instruction isn't removed.

ArtBlnd · 2018-09-04T05:58:13Z

Current PR is NOT doing performance improvement. DO NOT MERGE.

ArtBlnd · 2018-09-04T06:25:55Z

TODO : Apply branch-prediciton theory for bound checks.

ArtBlnd · 2018-09-05T03:51:09Z

Biggest binary size change was on Bytemark test.

After PR

 Bytemark.exe                         | Metric   | Unit | Iterations |  Average | STDEV.S |      Min |      Max
:------------------------------------ |:-------- |:----:|:----------:| --------:| -------:| --------:| --------:
 ByteMark.BenchAssignJagged           | Duration | msec |     2      | 1339.450 |  12.401 | 1330.681 | 1348.219
 ByteMark.BenchAssignRectangular      | Duration | msec |     2      | 1705.360 |   5.544 | 1701.440 | 1709.281
 ByteMark.BenchBitOps                 | Duration | msec |     2      | 1352.882 |   3.743 | 1350.235 | 1355.529
 ByteMark.BenchEmFloat                | Duration | msec |     2      | 4228.507 | 102.771 | 4155.837 | 4301.177
 ByteMark.BenchEmFloatClass           | Duration | msec |     2      |  857.242 |  42.785 |  826.989 |  887.496
 ByteMark.BenchFourier                | Duration | msec |     2      |  817.118 |  38.716 |  789.742 |  844.495
 ByteMark.BenchIDEAEncryption         | Duration | msec |     2      | 1256.892 |  43.960 | 1225.807 | 1287.976
 ByteMark.BenchLUDecomp               | Duration | msec |     2      | 1602.163 |   8.455 | 1596.185 | 1608.142
 ByteMark.BenchNeural                 | Duration | msec |     2      | 1142.809 |  13.389 | 1133.341 | 1152.276
 ByteMark.BenchNeuralJagged           | Duration | msec |     2      | 1175.733 |  12.474 | 1166.913 | 1184.553
 ByteMark.BenchNumericSortJagged      | Duration | msec |     2      | 1672.816 |  26.731 | 1653.914 | 1691.717
 ByteMark.BenchNumericSortRectangular | Duration | msec |     2      | 1737.014 |  36.482 | 1711.217 | 1762.810
 ByteMark.BenchStringSort             | Duration | msec |     2      | 1981.515 |  57.016 | 1941.198 | 2021.831

Before PR

 Bytemark.exe                         | Metric   | Unit | Iterations |  Average | STDEV.S |      Min |      Max
:------------------------------------ |:-------- |:----:|:----------:| --------:| -------:| --------:| --------:
 ByteMark.BenchAssignJagged           | Duration | msec |     2      | 1297.203 |  52.673 | 1259.958 | 1334.449
 ByteMark.BenchAssignRectangular      | Duration | msec |     2      | 1690.054 |  72.995 | 1638.439 | 1741.669
 ByteMark.BenchBitOps                 | Duration | msec |     2      | 1351.465 |   2.517 | 1349.685 | 1353.244
 ByteMark.BenchEmFloat                | Duration | msec |     2      | 4659.788 | 133.808 | 4565.171 | 4754.404
 ByteMark.BenchEmFloatClass           | Duration | msec |     2      |  973.132 |   0.541 |  972.749 |  973.514
 ByteMark.BenchFourier                | Duration | msec |     2      |  782.487 |  44.610 |  750.943 |  814.031
 ByteMark.BenchIDEAEncryption         | Duration | msec |     2      | 1378.041 |  46.912 | 1344.869 | 1411.212
 ByteMark.BenchLUDecomp               | Duration | msec |     2      | 1685.830 |  32.736 | 1662.682 | 1708.977
 ByteMark.BenchNeural                 | Duration | msec |     2      | 1188.487 |  19.616 | 1174.616 | 1202.358
 ByteMark.BenchNeuralJagged           | Duration | msec |     2      | 1176.183 |   8.082 | 1170.468 | 1181.898
 ByteMark.BenchNumericSortJagged      | Duration | msec |     2      | 1662.520 |  28.560 | 1642.325 | 1682.715
 ByteMark.BenchNumericSortRectangular | Duration | msec |     2      | 1723.915 |  73.229 | 1672.134 | 1775.696
 ByteMark.BenchStringSort             | Duration | msec |     2      | 1987.932 | 101.412 | 1916.223 | 2059.641

Something is wrong with it :< I've excepted more than 5~10% improves.

voinokin · 2018-09-06T00:06:48Z

What CPU are you running tests at ?

ArtBlnd · 2018-09-06T00:10:58Z

What CPU are you running tests at ?

That results are based on CI `Windows_NT x64 full_opt ryujit CoreCLR Perf Tests Correctness.

ArtBlnd · 2018-09-06T00:12:52Z

I think I have to remove dependency on the common ALU loops for super-scalar.
also not to increase iteration variant over the body.

Its really hard to remove (or very high-cost to remove the dependency) and its only available for unsafe memory access.

voinokin · 2018-09-06T00:15:52Z

Some CPUs having loop stream detector may loose perf gains due to loop body being too large for L.S.D. to work.

the Loop Stream Detector was introduced in Intel Core microarchitectures. With Sandy Bridge, it was 28 μops. It grows to 56 μops (with HT off) with Haswell and Broadwell. It grows again (considerably) with Skylake to 64 μops per thread (HT on or off). The LSD resides in the BPU (branch prediction unit) and it is basically telling the BPU to stop predicting branches and just stream from the LSD.

Hope this helps.

ArtBlnd · 2018-09-06T00:18:12Z

Some CPUs having loop stream detector may loose perf gains due to loop body being too large for L.S.D. to work.

Oh. thats really bad news, I thought removing over 16 iterations are effective. (because of the intel optimization manual.) that makes sense. I'll have a try. Thanks :>

voinokin · 2018-09-06T00:21:54Z

From my experience running VTune on Nehalem (quite old CPU) in many cases I saw lots of time spent after condition check at the loop end, and then at the beginning of the loop. I don't have good explanation for such behavior though - maybe related to branch predictor or some uops cache stuff or decoding machinery doing its work but delaying instructions execution, so treat this just as additional info.

ArtBlnd · 2018-09-06T00:29:17Z

I've found some L.S.D. optimization on intel optimization manual.
for current code. L.S.D will not triggered because of the loop will not have more than 16 iterations.

I think its better optimize for L.S.D. if loop has more than 64 iterations.
Anyways. thanks for advising :>

voinokin · 2018-09-06T00:32:31Z

I hope one day loop head alignment will be implemented :-) - see #11607

…tting.

The based on L.S.D threshold was on fetch size. now its also can be based on iterations which can maximize L.S.D. performance.

Sorry that I forget it every time...

also fixup for not cloning if iteration varaint is zero.

also removed unused variables. and clean-up comments.

…ine.

fixed as unroll particle first. and relax more cache line based unroll condition.

and fix type on comments.

For future super-scalar support implements.

ArtBlnd · 2019-01-10T06:30:25Z

Re-based current branch for compare original jit and unrolled jit.

ArtBlnd · 2019-01-11T03:26:41Z

I've tested verbose issues and I don't think there is something wrong with it. jit-dump emits fine.

ArtBlnd · 2019-01-25T06:42:11Z

@AndyAyersMS Can I have feedback for these comments? thanks
Actually. I am waiting this PR to be merged for long time. also I am freaking ready to do some on IV-Widening issues. and I just can't. because of this PR. I have to re-base IV-Widening patch if this does not be merged. This is being wrong. I know this is kind of huge patch. some huge changes for loop unrolling idioms in RyuJIT. but no one is reviewing or helping CLEARLY even it has large performance increases.

maryamariyan · 2019-11-06T21:05:40Z

Thank you for your contribution. As announced in dotnet/coreclr#27549 this repository will be moving to dotnet/runtime on November 13. If you would like to continue working on this PR after this date, the easiest way to move the change to dotnet/runtime is:

In your coreclr repository clone, create patch by running git format-patch origin
In your runtime repository clone, apply the patch by running git apply --directory src/coreclr <path to the patch created in step 1>

AndyAyersMS · 2019-11-07T01:20:52Z

@ArtBlnd sorry again for the lack of activity here. I am going to close this PR. It is just too big a step to take.

A while back in this PR's history I outlined a bunch of steps I'd like to see followed if you or anyone else wants to take up this work item again after the repo consolidation.

So if we/when we revisit this, please keep those in mind. I'm happy to collaborate with you on a plan that gets us moving towards this functionality in a number of smaller, well-thought out steps.

ArtBlnd changed the title ~~Newly implementd partial loop-unrolling support for RyuJIT~~ [WIP] Newly implementd partial loop-unrolling support for RyuJIT Aug 22, 2018

ArtBlnd changed the title ~~[WIP] Newly implementd partial loop-unrolling support for RyuJIT~~ Newly implementd partial loop-unrolling support for RyuJIT Aug 28, 2018

ArtBlnd commented Aug 30, 2018

View reviewed changes

src/jit/optimizer.cpp Outdated Show resolved Hide resolved

ArtBlnd changed the title ~~Newly implementd partial loop-unrolling support for RyuJIT~~ [WIP] Newly implementd partial loop-unrolling support for RyuJIT Sep 4, 2018

ArtBlnd added 22 commits January 10, 2019 15:25

default assert checks.

a37c168

replace operand if GT_LCL_VAR is on first operand of GT_ASG and forma…

2f070ae

…tting.

Add GT_IND, GT_STOREIND as fetch.

b3b2b78

The variable size emits are now based on LclVar.

b54d185

Update L.S.D. unrolling theory to maximize performance.

858c5fa

The based on L.S.D threshold was on fetch size. now its also can be based on iterations which can maximize L.S.D. performance.

Don't process unroll if nothing changes.

5f9532a

formatting.

a0fda15

Sorry that I forget it every time...

Some CQ improvement check for simpleALU

cb2f150

Record non-iteration variant cast to fetch list.

db2343a

Added verbose.

9025f9d

Fixup typos with some CQ improvement.

98cf933

formatting.

68375d5

Mark newly cloned unrolled expression as Index if its present.

3e81e8f

also fixup for not cloning if iteration varaint is zero.

formatting.

081ae55

Change cache line check implements.

4edbc41

also removed unused variables. and clean-up comments.

Fixup that not checking cost overflow when unrolling based on cache l…

ff4abad

…ine.

Add partial unrolling support phase for branch predication

6ebf446

CQ improvement for unroll particles.

a114edd

fixed as unroll particle first. and relax more cache line based unroll condition.

Clean up useless varaibles.

3c49cfd

and fix type on comments.

Fixup shifts for fetch calculation.

f9f2fea

Re-designed passing unroll infomations.

457d8ce

For future super-scalar support implements.

Fixup GCC goto stmt issue.

27f9dbf

ArtBlnd force-pushed the partial-unrolling-support branch from 99aa94e to 27f9dbf Compare January 10, 2019 06:27

jkotas added the area-CodeGen label May 25, 2019

AndyAyersMS closed this Nov 7, 2019

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