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[Perf] Linux/arm64: 15 Regressions on 5/4/2024 5:29:12 AM #102047

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@performanceautofiler

Description

@performanceautofiler

Run Information

Name Value
Architecture arm64
OS ubuntu 22.04
Queue AmpereUbuntu
Baseline e965312582a33c0acf2020648b54a152a80c139a
Compare 5962fd511e3eacf7fe91520392c041e94e5d31cc
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
53.07 ns 150.70 ns 2.84 0.04 True
1.62 μs 3.21 μs 1.99 0.03 True
658.28 ns 2.85 μs 4.33 0.02 True
2.08 μs 2.56 μs 1.23 0.01 True
48.40 μs 60.44 μs 1.25 0.01 True
48.94 μs 61.04 μs 1.25 0.01 True
872.01 ns 3.18 μs 3.65 0.04 True
68.76 ns 140.01 ns 2.04 0.02 True
2.05 μs 2.51 μs 1.22 0.01 True
817.70 ns 3.20 μs 3.91 0.14 True
2.07 μs 2.52 μs 1.22 0.01 True
48.04 μs 60.23 μs 1.25 0.01 True
54.65 ns 151.26 ns 2.77 0.03 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;Double&gt;*'

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

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

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

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

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

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

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

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

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

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

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

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

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

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Docs

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


Run Information

Name Value
Architecture arm64
OS ubuntu 22.04
Queue AmpereUbuntu
Baseline e965312582a33c0acf2020648b54a152a80c139a
Compare 5962fd511e3eacf7fe91520392c041e94e5d31cc
Diff Diff
Configs CompilationMode:tiered, RunKind:micro

Regressions in System.Memory.Span<Int32>

Benchmark Baseline Test Test/Base Test Quality Edge Detector Baseline IR Compare IR IR Ratio
3.46 ns 5.32 ns 1.54 0.24 False

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.Memory.Span&lt;Int32&gt;*'

System.Memory.Span<Int32>.SequenceEqual(Size: 4)

ETL Files

Histogram

JIT Disasms

Docs

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


Run Information

Name Value
Architecture arm64
OS ubuntu 22.04
Queue AmpereUbuntu
Baseline e965312582a33c0acf2020648b54a152a80c139a
Compare 5962fd511e3eacf7fe91520392c041e94e5d31cc
Diff Diff
Configs CompilationMode:tiered, RunKind:micro

Regressions in System.Collections.TryGetValueFalse<Int32, Int32>

Benchmark Baseline Test Test/Base Test Quality Edge Detector Baseline IR Compare IR IR Ratio
4.13 μs 5.96 μs 1.44 0.08 False

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.Collections.TryGetValueFalse&lt;Int32, Int32&gt;*'

System.Collections.TryGetValueFalse<Int32, Int32>.Dictionary(Size: 512)

ETL Files

Histogram

JIT Disasms

Docs

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

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