[Perf] Linux/x64: 3 Improvements on 1/13/2025 10:16:18 PM +00:00

[performanceautofiler]

Run Information

Name	Value
Architecture	x64
OS	ubuntu 22.04
Queue	TigerUbuntu
Baseline	2f51a56eddcb9beb7bc3073aa10173042a7005e6
Compare	e5ed253e38d3bf1414949924e1e69f43c8164d1b
Diff	Diff
Configs	CompilationMode:tiered, RunKind:micro

Improvements in System.Collections.IterateFor<String>

Benchmark	Baseline	Test	Test/Base	Test Quality	Edge Detector	Baseline IR	Compare IR	IR Ratio
IList - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	1.98 μs	1.72 μs	0.87	0.27	False

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.IterateFor<String>*'

System.Collections.IterateFor<String>.IList(Size: 512)

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	a5a7a3a6254b672d70fc96aa9b2630ee811d17d0
Compare	e5ed253e38d3bf1414949924e1e69f43c8164d1b
Diff	Diff
Configs	CompilationMode:tiered, 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
BitwiseAnd_Scalar - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	16.42 ns	14.08 ns	0.86	0.28	False
BitwiseAnd_Vector - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	20.86 ns	18.88 ns	0.90	0.24	False

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>.BitwiseAnd_Scalar(BufferLength: 128)

ETL Files

Histogram

JIT Disasms

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

ETL Files

Histogram

JIT Disasms

Docs

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

[AndyAyersMS]

Maybe dotnet/runtime#111397