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[Perf] Linux/x64: 19 Regressions on 4/29/2024 10:16:40 PM #33880

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performanceautofiler bot opened this issue May 7, 2024 · 0 comments
Closed

[Perf] Linux/x64: 19 Regressions on 4/29/2024 10:16:40 PM #33880

performanceautofiler bot opened this issue May 7, 2024 · 0 comments
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arch-x64 branch-refs/heads/main kind-micro os-linux perf-regression PGO Applied if there were any profile guided optimization updates in the observed interval. runtime-coreclr untriaged

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performanceautofiler bot commented May 7, 2024 •
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Run Information

Name Value
Architecture x64
OS ubuntu 22.04
Queue TigerUbuntu
Baseline f88ab88f4ce02569f84922cda802317e69682d8a
Compare 333fb71d54bd84256e740aa08f8b836d4cd71d98
Diff Diff
Configs CompilationMode:tiered, RunKind:micro

Regressions in System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>

Benchmark Baseline Test Test/Base Test Quality Edge Detector Baseline IR Compare IR IR Ratio
396.11 ns 1.01 μs 2.54 0.32 True
7.91 μs 24.35 μs 3.08 0.19 True
372.41 ns 1.05 μs 2.82 0.34 True
8.12 μs 24.50 μs 3.02 0.17 True
357.63 ns 1.02 μs 2.85 0.37 True
7.96 μs 24.96 μs 3.14 0.14 True

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Test Report

Repro

General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

git clone https://github.com/dotnet/performance.git
python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives&lt;Single&gt;*'

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.Pow_Vectors(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.Pow_ScalarExponent(BufferLength: 3079)

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System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.Pow_ScalarBase(BufferLength: 128)

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JIT Disasms

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.Pow_Vectors(BufferLength: 3079)

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JIT Disasms

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.Pow_ScalarExponent(BufferLength: 128)

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JIT Disasms

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.Pow_ScalarBase(BufferLength: 3079)

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JIT Disasms

Docs

Profiling workflow for dotnet/runtime repository
Benchmarking workflow for dotnet/runtime repository

Run Information

Name Value
Architecture x64
OS ubuntu 22.04
Queue TigerUbuntu
Baseline f88ab88f4ce02569f84922cda802317e69682d8a
Compare 333fb71d54bd84256e740aa08f8b836d4cd71d98
Diff Diff
Configs CompilationMode:tiered, RunKind:micro

Regressions in System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>

Benchmark Baseline Test Test/Base Test Quality Edge Detector Baseline IR Compare IR IR Ratio
27.96 μs 44.16 μs 1.58 0.01 True
1.09 μs 2.60 μs 2.38 0.21 True
27.96 μs 43.54 μs 1.56 0.04 True
27.22 μs 44.15 μs 1.62 0.03 True
794.58 ns 2.39 μs 3.01 0.14 True
36.46 ns 96.11 ns 2.64 0.29 True
36.36 ns 86.00 ns 2.37 0.29 False
21.97 ns 75.95 ns 3.46 0.63 False
1.19 μs 1.84 μs 1.55 0.01 True
815.00 ns 2.11 μs 2.59 0.14 True
835.04 ns 1.59 μs 1.91 0.54 False
1.21 μs 1.82 μs 1.50 0.02 True
1.23 μs 1.84 μs 1.50 0.03 True

graph
graph
graph
graph
graph
graph
graph
graph
graph
graph
graph
graph
graph
Test Report

Repro

General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

git clone https://github.com/dotnet/performance.git
python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives&lt;Double&gt;*'

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.Pow_ScalarBase(BufferLength: 3079)

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Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.FusedMultiplyAdd_Vectors(BufferLength: 3079)

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JIT Disasms

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.Pow_Vectors(BufferLength: 3079)

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JIT Disasms

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.Pow_ScalarExponent(BufferLength: 3079)

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Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.FusedMultiplyAdd_ScalarMultiplier(BufferLength: 3079)

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System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.FusedMultiplyAdd_ScalarAddend(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.FusedMultiplyAdd_ScalarMultiplier(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.Truncate(BufferLength: 128)

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JIT Disasms

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.Pow_ScalarExponent(BufferLength: 128)

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JIT Disasms

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.FusedMultiplyAdd_ScalarAddend(BufferLength: 3079)

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JIT Disasms

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.Truncate(BufferLength: 3079)

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JIT Disasms

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.Pow_Vectors(BufferLength: 128)

ETL Files

Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.Pow_ScalarBase(BufferLength: 128)

ETL Files

Histogram

JIT Disasms

Docs

Profiling workflow for dotnet/runtime repository
Benchmarking workflow for dotnet/runtime repository
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