Closed
Description
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 |
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<Double>*'
System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.FusedMultiplyAdd_ScalarAddend(BufferLength: 128)
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JIT Disasms
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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JIT Disasms
System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.FusedMultiplyAdd_Vectors(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>.Pow_Vectors(BufferLength: 128)
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JIT Disasms
System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.Pow_ScalarExponent(BufferLength: 3079)
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JIT Disasms
System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Double>.FusedMultiplyAdd_ScalarMultiplier(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 | 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 |
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<Int32>*'
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 |
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<Int32, Int32>*'
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