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[Perf] Linux/arm64: 65 Regressions on 6/5/2024 10:36:16 PM #36174

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Description

@performanceautofiler

Run Information

Name Value
Architecture arm64
OS ubuntu 22.04
Queue AmpereUbuntu
Baseline 9a3d45a66d96dd73b360471e0de8f0c5fb7c89c0
Compare 60edbf9371ff00349e9224fb0920c8bca51f1a4f
Diff Diff
Configs CompilationMode:tiered, RunKind:micro

Regressions in System.Numerics.Tests.Perf_Quaternion

Benchmark Baseline Test Test/Base Test Quality Edge Detector Baseline IR Compare IR IR Ratio
6.38 ns 7.82 ns 1.23 0.19 False
12.02 ns 15.14 ns 1.26 0.05 False

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.Tests.Perf_Quaternion*'

System.Numerics.Tests.Perf_Quaternion.ConcatenateBenchmark

ETL Files

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JIT Disasms

System.Numerics.Tests.Perf_Quaternion.DivisionOperatorBenchmark

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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 9a3d45a66d96dd73b360471e0de8f0c5fb7c89c0
Compare 60edbf9371ff00349e9224fb0920c8bca51f1a4f
Diff Diff
Configs CompilationMode:tiered, RunKind:micro

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

Benchmark Baseline Test Test/Base Test Quality Edge Detector Baseline IR Compare IR IR Ratio
33.78 ns 72.06 ns 2.13 0.01 True
45.06 ns 50.18 ns 1.11 0.00 True
43.94 ns 81.29 ns 1.85 0.04 True
85.47 ns 92.66 ns 1.08 0.24 False
33.84 ns 38.70 ns 1.14 0.00 True
51.94 ns 55.71 ns 1.07 0.01 False
52.16 ns 55.81 ns 1.07 0.03 False
35.17 ns 38.37 ns 1.09 0.00 False
559.51 ns 599.23 ns 1.07 0.00 True
50.02 ns 55.18 ns 1.10 0.00 True
140.95 ns 179.49 ns 1.27 0.03 True
33.86 ns 37.54 ns 1.11 0.00 False
156.96 ns 193.04 ns 1.23 0.02 True
58.88 ns 64.02 ns 1.09 0.04 False

graph
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_NumberTensorPrimitives&lt;Double&gt;*'

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Double>.Max_Scalar(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Double>.SumOfMagnitudes(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Double>.Max_Vector(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Double>.Max(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Double>.Add_Scalar(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Double>.AddMultiply_ScalarAddend(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Double>.AddMultiply_ScalarMultiplier(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Double>.BitwiseAnd_Scalar(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Double>.Max_Scalar(BufferLength: 3079)

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System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Double>.SumOfSquares(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Double>.MaxMagnitude_Scalar(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Double>.Abs(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Double>.MaxMagnitude_Vector(BufferLength: 128)

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JIT Disasms

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Double>.AddMultiply_Vectors(BufferLength: 128)

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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 9a3d45a66d96dd73b360471e0de8f0c5fb7c89c0
Compare 60edbf9371ff00349e9224fb0920c8bca51f1a4f
Diff Diff
Configs CompilationMode:tiered, RunKind:micro

Regressions in System.Numerics.Tensors.Tests.Perf_BinaryIntegerTensorPrimitives<Int32>

Benchmark Baseline Test Test/Base Test Quality Edge Detector Baseline IR Compare IR IR Ratio
135.01 ns 162.89 ns 1.21 0.01 False
25.09 ns 27.96 ns 1.11 0.01 False
115.02 ns 142.31 ns 1.24 0.03 False
23.35 ns 25.67 ns 1.10 0.02 True

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_BinaryIntegerTensorPrimitives&lt;Int32&gt;*'

System.Numerics.Tensors.Tests.Perf_BinaryIntegerTensorPrimitives<Int32>.TrailingZeroCount(BufferLength: 128)

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JIT Disasms

System.Numerics.Tensors.Tests.Perf_BinaryIntegerTensorPrimitives<Int32>.ShiftLeft(BufferLength: 128)

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System.Numerics.Tensors.Tests.Perf_BinaryIntegerTensorPrimitives<Int32>.PopCount(BufferLength: 128)

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JIT Disasms

System.Numerics.Tensors.Tests.Perf_BinaryIntegerTensorPrimitives<Int32>.OnesComplement(BufferLength: 128)

ETL Files

Histogram

JIT Disasms

Docs

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

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