[Perf] Linux/x64: 5 Improvements on 7/10/2024 6:50:30 PM

[performanceautofiler]

Run Information

Name	Value
Architecture	x64
OS	ubuntu 22.04
Queue	TigerUbuntu
Baseline	a2b7214af6fe4c002847b8dcc68aabafc5523fa2
Compare	635f9af977bef698e8092d51386d3ab546395e0a
Diff	Diff
Configs	AOT:true, CompilationMode:wasm, RunKind:micro

Improvements in System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Int32>

Benchmark	Baseline	Test	Test/Base	Test Quality	Edge Detector	Baseline IR	Compare IR	IR Ratio
MaxMagnitude_Vector - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	1.52 μs	1.34 μs	0.89	0.02	False
Max_Scalar - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	1.32 μs	1.17 μs	0.88	0.08	False
Max_Scalar - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	27.57 μs	21.10 μs	0.77	0.03	True

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<Int32>*'

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Int32>.MaxMagnitude_Vector(BufferLength: 3079)

ETL Files

Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Int32>.Max_Scalar(BufferLength: 128)

ETL Files

Histogram

JIT Disasms

System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives<Int32>.Max_Scalar(BufferLength: 3079)

ETL Files

Histogram

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	4a1a07666b55ed425a5c43896e7869227fca500c
Compare	635f9af977bef698e8092d51386d3ab546395e0a
Diff	Diff
Configs	AOT:true, CompilationMode:wasm, RunKind:micro

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

Benchmark	Baseline	Test	Test/Base	Test Quality	Edge Detector	Baseline IR	Compare IR	IR Ratio
Max_Vector - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	4.08 μs	1.60 μs	0.39	0.01	True
MaxMagnitude_Vector - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	201.46 ns	126.17 ns	0.63	0.06	True

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<Double>*'

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

ETL Files

Histogram

JIT Disasms

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

ETL Files

Histogram

JIT Disasms

Docs

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

[lewing]

Probably dotnet/runtime#104651