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

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | TigerUbuntu
Baseline | [a2b7214af6fe4c002847b8dcc68aabafc5523fa2](https://github.com/dotnet/runtime/commit/a2b7214af6fe4c002847b8dcc68aabafc5523fa2)
Compare | [8ba8249272917366e2382bb4c67a2347d19d2fb6](https://github.com/dotnet/runtime/commit/8ba8249272917366e2382bb4c67a2347d19d2fb6)
Diff | [Diff](https://github.com/dotnet/runtime/compare/a2b7214af6fe4c002847b8dcc68aabafc5523fa2...8ba8249272917366e2382bb4c67a2347d19d2fb6)
Configs | CompilationMode:tiered, LLVM:false, MonoAOT:false, MonoInterpreter:false, RunKind:micro_mono


### Improvements in System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;

Benchmark | Baseline | Test | Test/Base | Test Quality | Edge Detector | Baseline IR | Compare IR | IR Ratio
-- | -- | -- | -- | -- | -- | -- | -- | --
|<ul><li>[Max_Vector - Duration of single invocation](<https://pvscmdupload.z22.web.core.windows.net/reports/allTestHistory/refs/heads/main_x64_ubuntu 22.04_LLVM=false_MonoAOT=false_MonoInterpreter=false_RunKind=micro_mono/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives(Single).Max_Vector(BufferLength%3a%203079).html>)</li><li>📝 - [Benchmark Source](<https://github.com/dotnet/performance/blob/main/src/benchmarks/micro/libraries/System.Numerics.Tensors/Perf_NumberTensorPrimitives.cs#L76-#L77>)</li><li>[ADX - Test Multi Config Graph](<https://dataexplorer.azure.com/clusters/dotnetperf.westus/databases/PerformanceData?query=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>)</li></ul> | 3.00 μs | 2.36 μs | 0.79 | 0.01 | False | | |
|<ul><li>[MaxMagnitude_Vector - Duration of single invocation](<https://pvscmdupload.z22.web.core.windows.net/reports/allTestHistory/refs/heads/main_x64_ubuntu 22.04_LLVM=false_MonoAOT=false_MonoInterpreter=false_RunKind=micro_mono/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives(Single).MaxMagnitude_Vector(BufferLength%3a%203079).html>)</li><li>📝 - [Benchmark Source](<https://github.com/dotnet/performance/blob/main/src/benchmarks/micro/libraries/System.Numerics.Tensors/Perf_NumberTensorPrimitives.cs#L82-#L83>)</li><li>[ADX - Test Multi Config Graph](<https://dataexplorer.azure.com/clusters/dotnetperf.westus/databases/PerformanceData?query=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>)</li></ul> | 3.20 μs | 2.97 μs | 0.93 | 0.01 | True | | |
|<ul><li>[Max_Scalar - Duration of single invocation](<https://pvscmdupload.z22.web.core.windows.net/reports/allTestHistory/refs/heads/main_x64_ubuntu 22.04_LLVM=false_MonoAOT=false_MonoInterpreter=false_RunKind=micro_mono/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives(Single).Max_Scalar(BufferLength%3a%20128).html>)</li><li>📝 - [Benchmark Source](<https://github.com/dotnet/performance/blob/main/src/benchmarks/micro/libraries/System.Numerics.Tensors/Perf_NumberTensorPrimitives.cs#L79-#L80>)</li><li>[ADX - Test Multi Config Graph](<https://dataexplorer.azure.com/clusters/dotnetperf.westus/databases/PerformanceData?query=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>)</li></ul> | 176.09 ns | 148.20 ns | 0.84 | 0.01 | False | | |
|<ul><li>[Max_Vector - Duration of single invocation](<https://pvscmdupload.z22.web.core.windows.net/reports/allTestHistory/refs/heads/main_x64_ubuntu 22.04_LLVM=false_MonoAOT=false_MonoInterpreter=false_RunKind=micro_mono/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives(Single).Max_Vector(BufferLength%3a%20128).html>)</li><li>📝 - [Benchmark Source](<https://github.com/dotnet/performance/blob/main/src/benchmarks/micro/libraries/System.Numerics.Tensors/Perf_NumberTensorPrimitives.cs#L76-#L77>)</li><li>[ADX - Test Multi Config Graph](<https://dataexplorer.azure.com/clusters/dotnetperf.westus/databases/PerformanceData?query=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>)</li></ul> | 207.37 ns | 174.39 ns | 0.84 | 0.01 | False | | |
|<ul><li>[Max_Scalar - Duration of single invocation](<https://pvscmdupload.z22.web.core.windows.net/reports/allTestHistory/refs/heads/main_x64_ubuntu 22.04_LLVM=false_MonoAOT=false_MonoInterpreter=false_RunKind=micro_mono/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives(Single).Max_Scalar(BufferLength%3a%203079).html>)</li><li>📝 - [Benchmark Source](<https://github.com/dotnet/performance/blob/main/src/benchmarks/micro/libraries/System.Numerics.Tensors/Perf_NumberTensorPrimitives.cs#L79-#L80>)</li><li>[ADX - Test Multi Config Graph](<https://dataexplorer.azure.com/clusters/dotnetperf.westus/databases/PerformanceData?query=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>)</li></ul> | 2.78 μs | 2.16 μs | 0.78 | 0.01 | False | | |

![graph](<https://pvscmdupload.z22.web.core.windows.net/autofilereport/autofilereports/07_16_2024/refs/heads/main_x64_ubuntu%2022.04_LLVM%3Dfalse_MonoAOT%3Dfalse_MonoInterpreter%3Dfalse_RunKind%3Dmicro_mono_Improvement/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives%28Single%29_1.png>)
![graph](<https://pvscmdupload.z22.web.core.windows.net/autofilereport/autofilereports/07_16_2024/refs/heads/main_x64_ubuntu%2022.04_LLVM%3Dfalse_MonoAOT%3Dfalse_MonoInterpreter%3Dfalse_RunKind%3Dmicro_mono_Improvement/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives%28Single%29_2.png>)
![graph](<https://pvscmdupload.z22.web.core.windows.net/autofilereport/autofilereports/07_16_2024/refs/heads/main_x64_ubuntu%2022.04_LLVM%3Dfalse_MonoAOT%3Dfalse_MonoInterpreter%3Dfalse_RunKind%3Dmicro_mono_Improvement/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives%28Single%29_3.png>)
![graph](<https://pvscmdupload.z22.web.core.windows.net/autofilereport/autofilereports/07_16_2024/refs/heads/main_x64_ubuntu%2022.04_LLVM%3Dfalse_MonoAOT%3Dfalse_MonoInterpreter%3Dfalse_RunKind%3Dmicro_mono_Improvement/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives%28Single%29_4.png>)
![graph](<https://pvscmdupload.z22.web.core.windows.net/autofilereport/autofilereports/07_16_2024/refs/heads/main_x64_ubuntu%2022.04_LLVM%3Dfalse_MonoAOT%3Dfalse_MonoInterpreter%3Dfalse_RunKind%3Dmicro_mono_Improvement/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives%28Single%29_5.png>)
[Test Report](<https://pvscmdupload.z22.web.core.windows.net/autofilereport/autofilereports/07_16_2024/refs/heads/main_x64_ubuntu%2022.04_LLVM%3Dfalse_MonoAOT%3Dfalse_MonoInterpreter%3Dfalse_RunKind%3Dmicro_mono_Improvement/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives%28Single%29.html>)

### Repro
General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

<details>
   <summary>Repro Steps</summary>


#### Prerequisites (Build files either built locally or downloaded from payload above)
- Libraries build extracted to `runtime/artifacts` or build instructions: [Libraries README](https://github.com/dotnet/runtime/blob/main/docs/workflow/building/libraries/README.md) args: `-subset libs+libs.tests -rc release -configuration Release -arch $RunArch -framework net8.0`
- CoreCLR product build extracted to `runtime/artifacts/bin/coreclr/$RunOS.$RunArch.Release`, build instructions: [CoreCLR README](https://github.com/dotnet/runtime/blob/main/docs/workflow/building/coreclr/README.md) args: `-subset clr+libs -rc release -configuration Release -arch $RunArch -framework net8.0`
- Mono Runtime build extracted to `runtime/artifacts/bin/mono/$RunOS.$RunArch.Release`, build instructions: [MONO README](https://github.com/dotnet/runtime/blob/main/docs/workflow/building/mono/README.md) args: `-arch $RunArch -os $RunOS -s mono+libs+host+packs -c Release `
- Dotnet SDK installed for dotnet commands
- Running commands from the runtime folder

Linux
```cmd
# Set $RunDir to the runtime directory
RunDir=`pwd`

# Set the OS, arch, and OSId
RunOS='linux'
RunOSId='linux'
RunArch='x64'

# Create mono dotnet
mkdir -p $RunDir/artifacts/dotnet-mono
$RunDir/build.sh -subset libs.pretest -configuration release -ci -arch $RunArch -testscope innerloop /p:RuntimeArtifactsPath=$RunDir/artifacts/bin/mono/$RunOS.$RunArch.Release /p:RuntimeFlavor=mono
cp $RunDir/artifacts/bin/runtime/net8.0-$RunOS-Release-$RunArch/* $RunDir/artifacts/bin/testhost/net8.0-$RunOS-Release-$RunArch/shared/Microsoft.NETCore.App/8.0.0 -rf
cp $RunDir/artifacts/bin/testhost/net8.0-$RunOS-Release-$RunArch/* $RunDir/artifacts/dotnet-mono -r
cp $RunDir/artifacts/bin/coreclr/$RunOS.$RunArch.Release/corerun $RunDir/artifacts/dotnet-mono/shared/Microsoft.NETCore.App/8.0.0/corerun

# Create Core Root
$RunDir/src/tests/build.sh release $RunArch generatelayoutonly /p:LibrariesConfiguration=Release

# Clone performance 
git clone --branch main --depth 1 --quiet https://github.com/dotnet/performance.git $RunDir/performance

# One line run:
python3 $RunDir/performance/scripts/benchmarks_ci.py --csproj $RunDir/performance/src/benchmarks/micro/MicroBenchmarks.csproj --incremental no --architecture $RunArch -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;*' --bdn-artifacts $RunDir/artifacts/BenchmarkDotNet.Artifacts --bdn-arguments="--anyCategories Libraries Runtime  --category-exclusion-filter NoInterpreter NoMono --logBuildOutput --generateBinLog --corerun $RunDir/artifacts/dotnet-mono/shared/Microsoft.NETCore.App/8.0.0/corerun" 

# Individual Commands:
# Restore 
dotnet restore $RunDir/performance/src/benchmarks/micro/MicroBenchmarks.csproj --packages $RunDir/performance/artifacts/packages /p:UseSharedCompilation=false /p:BuildInParallel=false /m:1

# Build
dotnet build $RunDir/performance/src/benchmarks/micro/MicroBenchmarks.csproj --configuration Release --framework net8.0 --no-restore /p:NuGetPackageRoot=$RunDir/performance/artifacts/packages /p:UseSharedCompilation=false /p:BuildInParallel=false /m:1

# Run
dotnet run --project $RunDir/performance/src/benchmarks/micro/MicroBenchmarks.csproj --configuration Release --framework net8.0 --no-restore --no-build -- --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;*' --anyCategories Libraries Runtime " --category-exclusion-filter NoInterpreter NoMono --logBuildOutput --generateBinLog --corerun $RunDir/artifacts/dotnet-mono/shared/Microsoft.NETCore.App/8.0.0/corerun --artifacts $RunDir/artifacts/BenchmarkDotNet.Artifacts --packages $RunDir/performance/artifacts/packages
```

Windows
```cmd
# Set $RunDir to the runtime directory
$RunDir="FullPathHere"

# Set the OS, arch, and OSId
RunOS='windows'
RunOSId='win'
RunArch='x64'

# Create mono dotnet
mkdir -p $RunDir/artifacts/dotnet-mono
$RunDir/build.sh -subset libs.pretest -configuration release -ci -arch $RunArch -testscope innerloop /p:RuntimeArtifactsPath=$RunDir\artifacts\bin\mono\$RunOS.$RunArch.Release /p:RuntimeFlavor=mono
xcopy $RunDir\artifacts\bin\runtime\net8.0-$RunOS-Release-$RunArch\ $RunDir\artifacts\bin\testhost\net8.0-$RunOS-Release-$RunArch\shared\Microsoft.NETCore.App\8.0.0\ /e /y
xcopy $RunDir\artifacts\bin\testhost\net8.0-$RunOS-Release-$RunArch\ $RunDir\artifacts\dotnet-mono\ /e /y
xcopy $RunDir\artifacts\bin\coreclr\$RunOS.$RunArch.Release\corerun $RunDir\artifacts\dotnet-mono\shared\Microsoft.NETCore.App\8.0.0\corerun /y

# Create Core Root
$RunDir\src\tests\build.cmd release $RunArch generatelayoutonly /p:LibrariesConfiguration=Release

# Clone performance 
git clone --branch main --depth 1 --quiet https://github.com/dotnet/performance.git $RunDir\performance

# One line run:
python3 $RunDir\performance\scripts\benchmarks_ci.py --csproj $RunDir\performance\src\benchmarks\micro\MicroBenchmarks.csproj --incremental no --architecture $RunArch -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;*' --bdn-artifacts $RunDir\artifacts\BenchmarkDotNet.Artifacts --bdn-arguments="--anyCategories Libraries Runtime  --category-exclusion-filter NoInterpreter NoMono --logBuildOutput --generateBinLog --corerun $RunDir\artifacts\dotnet-mono\shared\Microsoft.NETCore.App\8.0.0\corerun.exe" 

# Individual Commands:
# Restore 
dotnet restore $RunDir\performance\src\benchmarks\micro\MicroBenchmarks.csproj --packages $RunDir\performance\artifacts\packages /p:UseSharedCompilation=false /p:BuildInParallel=false /m:1

# Build
dotnet build $RunDir\performance\src\benchmarks\micro\MicroBenchmarks.csproj --configuration Release --framework net8.0 --no-restore /p:NuGetPackageRoot=$RunDir\performance\artifacts\packages /p:UseSharedCompilation=false /p:BuildInParallel=false /m:1

# Run
dotnet run --project $RunDir\performance\src\benchmarks\micro\MicroBenchmarks.csproj --configuration Release --framework net8.0 --no-restore --no-build -- --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;*' --anyCategories Libraries Runtime " --category-exclusion-filter NoInterpreter NoMono --logBuildOutput --generateBinLog --corerun $RunDir\artifacts\dotnet-mono\shared\Microsoft.NETCore.App\8.0.0\corerun.exe --artifacts $RunDir\artifacts\BenchmarkDotNet.Artifacts --packages $RunDir\performance\artifacts\packages
```

</details>

<details>

### System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;.Max_Vector(BufferLength: 3079)

#### ETL Files

#### Histogram

#### JIT Disasms

### System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;.MaxMagnitude_Vector(BufferLength: 3079)

#### ETL Files

#### Histogram

#### JIT Disasms

### System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;.Max_Scalar(BufferLength: 128)

#### ETL Files

#### Histogram

#### JIT Disasms

### System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;.Max_Vector(BufferLength: 128)

#### ETL Files

#### Histogram

#### JIT Disasms

### System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Single&gt;.Max_Scalar(BufferLength: 3079)

#### ETL Files

#### Histogram

#### JIT Disasms



### Docs

[Profiling workflow for dotnet/runtime repository](https://github.com/dotnet/performance/blob/master/docs/profiling-workflow-dotnet-runtime.md)
[Benchmarking workflow for dotnet/runtime repository](https://github.com/dotnet/performance/blob/master/docs/benchmarking-workflow-dotnet-runtime.md)

</details>


---


### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | TigerUbuntu
Baseline | [4a1a07666b55ed425a5c43896e7869227fca500c](https://github.com/dotnet/runtime/commit/4a1a07666b55ed425a5c43896e7869227fca500c)
Compare | [2fe4afa81e5986124a1fef91e6f35f8994b92ef7](https://github.com/dotnet/runtime/commit/2fe4afa81e5986124a1fef91e6f35f8994b92ef7)
Diff | [Diff](https://github.com/dotnet/runtime/compare/4a1a07666b55ed425a5c43896e7869227fca500c...2fe4afa81e5986124a1fef91e6f35f8994b92ef7)
Configs | CompilationMode:tiered, LLVM:false, MonoAOT:false, MonoInterpreter:false, RunKind:micro_mono


### Improvements in System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Double&gt;

Benchmark | Baseline | Test | Test/Base | Test Quality | Edge Detector | Baseline IR | Compare IR | IR Ratio
-- | -- | -- | -- | -- | -- | -- | -- | --
|<ul><li>[Max_Scalar - Duration of single invocation](<https://pvscmdupload.z22.web.core.windows.net/reports/allTestHistory/refs/heads/main_x64_ubuntu 22.04_LLVM=false_MonoAOT=false_MonoInterpreter=false_RunKind=micro_mono/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives(Double).Max_Scalar(BufferLength%3a%203079).html>)</li><li>📝 - [Benchmark Source](<https://github.com/dotnet/performance/blob/main/src/benchmarks/micro/libraries/System.Numerics.Tensors/Perf_NumberTensorPrimitives.cs#L79-#L80>)</li><li>[ADX - Test Multi Config Graph](<https://dataexplorer.azure.com/clusters/dotnetperf.westus/databases/PerformanceData?query=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>)</li></ul> | 5.56 μs | 4.25 μs | 0.76 | 0.01 | False | | |
|<ul><li>[Max_Scalar - Duration of single invocation](<https://pvscmdupload.z22.web.core.windows.net/reports/allTestHistory/refs/heads/main_x64_ubuntu 22.04_LLVM=false_MonoAOT=false_MonoInterpreter=false_RunKind=micro_mono/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives(Double).Max_Scalar(BufferLength%3a%20128).html>)</li><li>📝 - [Benchmark Source](<https://github.com/dotnet/performance/blob/main/src/benchmarks/micro/libraries/System.Numerics.Tensors/Perf_NumberTensorPrimitives.cs#L79-#L80>)</li><li>[ADX - Test Multi Config Graph](<https://dataexplorer.azure.com/clusters/dotnetperf.westus/databases/PerformanceData?query=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>)</li></ul> | 296.94 ns | 231.10 ns | 0.78 | 0.01 | False | | |
|<ul><li>[Max_Vector - Duration of single invocation](<https://pvscmdupload.z22.web.core.windows.net/reports/allTestHistory/refs/heads/main_x64_ubuntu 22.04_LLVM=false_MonoAOT=false_MonoInterpreter=false_RunKind=micro_mono/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives(Double).Max_Vector(BufferLength%3a%20128).html>)</li><li>📝 - [Benchmark Source](<https://github.com/dotnet/performance/blob/main/src/benchmarks/micro/libraries/System.Numerics.Tensors/Perf_NumberTensorPrimitives.cs#L76-#L77>)</li><li>[ADX - Test Multi Config Graph](<https://dataexplorer.azure.com/clusters/dotnetperf.westus/databases/PerformanceData?query=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>)</li></ul> | 324.94 ns | 265.25 ns | 0.82 | 0.01 | False | | |
|<ul><li>[MaxMagnitude_Vector - Duration of single invocation](<https://pvscmdupload.z22.web.core.windows.net/reports/allTestHistory/refs/heads/main_x64_ubuntu 22.04_LLVM=false_MonoAOT=false_MonoInterpreter=false_RunKind=micro_mono/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives(Double).MaxMagnitude_Vector(BufferLength%3a%203079).html>)</li><li>📝 - [Benchmark Source](<https://github.com/dotnet/performance/blob/main/src/benchmarks/micro/libraries/System.Numerics.Tensors/Perf_NumberTensorPrimitives.cs#L82-#L83>)</li><li>[ADX - Test Multi Config Graph](<https://dataexplorer.azure.com/clusters/dotnetperf.westus/databases/PerformanceData?query=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>)</li></ul> | 6.32 μs | 5.77 μs | 0.91 | 0.00 | True | | |
|<ul><li>[MaxMagnitude_Scalar - Duration of single invocation](<https://pvscmdupload.z22.web.core.windows.net/reports/allTestHistory/refs/heads/main_x64_ubuntu 22.04_LLVM=false_MonoAOT=false_MonoInterpreter=false_RunKind=micro_mono/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives(Double).MaxMagnitude_Scalar(BufferLength%3a%20128).html>)</li><li>📝 - [Benchmark Source](<https://github.com/dotnet/performance/blob/main/src/benchmarks/micro/libraries/System.Numerics.Tensors/Perf_NumberTensorPrimitives.cs#L85-#L86>)</li><li>[ADX - Test Multi Config Graph](<https://dataexplorer.azure.com/clusters/dotnetperf.westus/databases/PerformanceData?query=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>)</li></ul> | 296.14 ns | 279.23 ns | 0.94 | 0.00 | True | | |

![graph](<https://pvscmdupload.z22.web.core.windows.net/autofilereport/autofilereports/07_16_2024/refs/heads/main_x64_ubuntu%2022.04_LLVM%3Dfalse_MonoAOT%3Dfalse_MonoInterpreter%3Dfalse_RunKind%3Dmicro_mono_Improvement/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives%28Double%29_1.png>)
![graph](<https://pvscmdupload.z22.web.core.windows.net/autofilereport/autofilereports/07_16_2024/refs/heads/main_x64_ubuntu%2022.04_LLVM%3Dfalse_MonoAOT%3Dfalse_MonoInterpreter%3Dfalse_RunKind%3Dmicro_mono_Improvement/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives%28Double%29_2.png>)
![graph](<https://pvscmdupload.z22.web.core.windows.net/autofilereport/autofilereports/07_16_2024/refs/heads/main_x64_ubuntu%2022.04_LLVM%3Dfalse_MonoAOT%3Dfalse_MonoInterpreter%3Dfalse_RunKind%3Dmicro_mono_Improvement/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives%28Double%29_3.png>)
![graph](<https://pvscmdupload.z22.web.core.windows.net/autofilereport/autofilereports/07_16_2024/refs/heads/main_x64_ubuntu%2022.04_LLVM%3Dfalse_MonoAOT%3Dfalse_MonoInterpreter%3Dfalse_RunKind%3Dmicro_mono_Improvement/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives%28Double%29_4.png>)
![graph](<https://pvscmdupload.z22.web.core.windows.net/autofilereport/autofilereports/07_16_2024/refs/heads/main_x64_ubuntu%2022.04_LLVM%3Dfalse_MonoAOT%3Dfalse_MonoInterpreter%3Dfalse_RunKind%3Dmicro_mono_Improvement/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives%28Double%29_5.png>)
[Test Report](<https://pvscmdupload.z22.web.core.windows.net/autofilereport/autofilereports/07_16_2024/refs/heads/main_x64_ubuntu%2022.04_LLVM%3Dfalse_MonoAOT%3Dfalse_MonoInterpreter%3Dfalse_RunKind%3Dmicro_mono_Improvement/System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives%28Double%29.html>)

### Repro
General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md

<details>
   <summary>Repro Steps</summary>


#### Prerequisites (Build files either built locally or downloaded from payload above)
- Libraries build extracted to `runtime/artifacts` or build instructions: [Libraries README](https://github.com/dotnet/runtime/blob/main/docs/workflow/building/libraries/README.md) args: `-subset libs+libs.tests -rc release -configuration Release -arch $RunArch -framework net8.0`
- CoreCLR product build extracted to `runtime/artifacts/bin/coreclr/$RunOS.$RunArch.Release`, build instructions: [CoreCLR README](https://github.com/dotnet/runtime/blob/main/docs/workflow/building/coreclr/README.md) args: `-subset clr+libs -rc release -configuration Release -arch $RunArch -framework net8.0`
- Mono Runtime build extracted to `runtime/artifacts/bin/mono/$RunOS.$RunArch.Release`, build instructions: [MONO README](https://github.com/dotnet/runtime/blob/main/docs/workflow/building/mono/README.md) args: `-arch $RunArch -os $RunOS -s mono+libs+host+packs -c Release `
- Dotnet SDK installed for dotnet commands
- Running commands from the runtime folder

Linux
```cmd
# Set $RunDir to the runtime directory
RunDir=`pwd`

# Set the OS, arch, and OSId
RunOS='linux'
RunOSId='linux'
RunArch='x64'

# Create mono dotnet
mkdir -p $RunDir/artifacts/dotnet-mono
$RunDir/build.sh -subset libs.pretest -configuration release -ci -arch $RunArch -testscope innerloop /p:RuntimeArtifactsPath=$RunDir/artifacts/bin/mono/$RunOS.$RunArch.Release /p:RuntimeFlavor=mono
cp $RunDir/artifacts/bin/runtime/net8.0-$RunOS-Release-$RunArch/* $RunDir/artifacts/bin/testhost/net8.0-$RunOS-Release-$RunArch/shared/Microsoft.NETCore.App/8.0.0 -rf
cp $RunDir/artifacts/bin/testhost/net8.0-$RunOS-Release-$RunArch/* $RunDir/artifacts/dotnet-mono -r
cp $RunDir/artifacts/bin/coreclr/$RunOS.$RunArch.Release/corerun $RunDir/artifacts/dotnet-mono/shared/Microsoft.NETCore.App/8.0.0/corerun

# Create Core Root
$RunDir/src/tests/build.sh release $RunArch generatelayoutonly /p:LibrariesConfiguration=Release

# Clone performance 
git clone --branch main --depth 1 --quiet https://github.com/dotnet/performance.git $RunDir/performance

# One line run:
python3 $RunDir/performance/scripts/benchmarks_ci.py --csproj $RunDir/performance/src/benchmarks/micro/MicroBenchmarks.csproj --incremental no --architecture $RunArch -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Double&gt;*' --bdn-artifacts $RunDir/artifacts/BenchmarkDotNet.Artifacts --bdn-arguments="--anyCategories Libraries Runtime  --category-exclusion-filter NoInterpreter NoMono --logBuildOutput --generateBinLog --corerun $RunDir/artifacts/dotnet-mono/shared/Microsoft.NETCore.App/8.0.0/corerun" 

# Individual Commands:
# Restore 
dotnet restore $RunDir/performance/src/benchmarks/micro/MicroBenchmarks.csproj --packages $RunDir/performance/artifacts/packages /p:UseSharedCompilation=false /p:BuildInParallel=false /m:1

# Build
dotnet build $RunDir/performance/src/benchmarks/micro/MicroBenchmarks.csproj --configuration Release --framework net8.0 --no-restore /p:NuGetPackageRoot=$RunDir/performance/artifacts/packages /p:UseSharedCompilation=false /p:BuildInParallel=false /m:1

# Run
dotnet run --project $RunDir/performance/src/benchmarks/micro/MicroBenchmarks.csproj --configuration Release --framework net8.0 --no-restore --no-build -- --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Double&gt;*' --anyCategories Libraries Runtime " --category-exclusion-filter NoInterpreter NoMono --logBuildOutput --generateBinLog --corerun $RunDir/artifacts/dotnet-mono/shared/Microsoft.NETCore.App/8.0.0/corerun --artifacts $RunDir/artifacts/BenchmarkDotNet.Artifacts --packages $RunDir/performance/artifacts/packages
```

Windows
```cmd
# Set $RunDir to the runtime directory
$RunDir="FullPathHere"

# Set the OS, arch, and OSId
RunOS='windows'
RunOSId='win'
RunArch='x64'

# Create mono dotnet
mkdir -p $RunDir/artifacts/dotnet-mono
$RunDir/build.sh -subset libs.pretest -configuration release -ci -arch $RunArch -testscope innerloop /p:RuntimeArtifactsPath=$RunDir\artifacts\bin\mono\$RunOS.$RunArch.Release /p:RuntimeFlavor=mono
xcopy $RunDir\artifacts\bin\runtime\net8.0-$RunOS-Release-$RunArch\ $RunDir\artifacts\bin\testhost\net8.0-$RunOS-Release-$RunArch\shared\Microsoft.NETCore.App\8.0.0\ /e /y
xcopy $RunDir\artifacts\bin\testhost\net8.0-$RunOS-Release-$RunArch\ $RunDir\artifacts\dotnet-mono\ /e /y
xcopy $RunDir\artifacts\bin\coreclr\$RunOS.$RunArch.Release\corerun $RunDir\artifacts\dotnet-mono\shared\Microsoft.NETCore.App\8.0.0\corerun /y

# Create Core Root
$RunDir\src\tests\build.cmd release $RunArch generatelayoutonly /p:LibrariesConfiguration=Release

# Clone performance 
git clone --branch main --depth 1 --quiet https://github.com/dotnet/performance.git $RunDir\performance

# One line run:
python3 $RunDir\performance\scripts\benchmarks_ci.py --csproj $RunDir\performance\src\benchmarks\micro\MicroBenchmarks.csproj --incremental no --architecture $RunArch -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Double&gt;*' --bdn-artifacts $RunDir\artifacts\BenchmarkDotNet.Artifacts --bdn-arguments="--anyCategories Libraries Runtime  --category-exclusion-filter NoInterpreter NoMono --logBuildOutput --generateBinLog --corerun $RunDir\artifacts\dotnet-mono\shared\Microsoft.NETCore.App\8.0.0\corerun.exe" 

# Individual Commands:
# Restore 
dotnet restore $RunDir\performance\src\benchmarks\micro\MicroBenchmarks.csproj --packages $RunDir\performance\artifacts\packages /p:UseSharedCompilation=false /p:BuildInParallel=false /m:1

# Build
dotnet build $RunDir\performance\src\benchmarks\micro\MicroBenchmarks.csproj --configuration Release --framework net8.0 --no-restore /p:NuGetPackageRoot=$RunDir\performance\artifacts\packages /p:UseSharedCompilation=false /p:BuildInParallel=false /m:1

# Run
dotnet run --project $RunDir\performance\src\benchmarks\micro\MicroBenchmarks.csproj --configuration Release --framework net8.0 --no-restore --no-build -- --filter 'System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Double&gt;*' --anyCategories Libraries Runtime " --category-exclusion-filter NoInterpreter NoMono --logBuildOutput --generateBinLog --corerun $RunDir\artifacts\dotnet-mono\shared\Microsoft.NETCore.App\8.0.0\corerun.exe --artifacts $RunDir\artifacts\BenchmarkDotNet.Artifacts --packages $RunDir\performance\artifacts\packages
```

</details>

<details>

### System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Double&gt;.Max_Scalar(BufferLength: 3079)

#### ETL Files

#### Histogram

#### JIT Disasms

### System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Double&gt;.Max_Scalar(BufferLength: 128)

#### ETL Files

#### Histogram

#### JIT Disasms

### System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Double&gt;.Max_Vector(BufferLength: 128)

#### ETL Files

#### Histogram

#### JIT Disasms

### System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Double&gt;.MaxMagnitude_Vector(BufferLength: 3079)

#### ETL Files

#### Histogram

#### JIT Disasms

### System.Numerics.Tensors.Tests.Perf_NumberTensorPrimitives&lt;Double&gt;.MaxMagnitude_Scalar(BufferLength: 128)

#### ETL Files

#### Histogram

#### JIT Disasms



### Docs

[Profiling workflow for dotnet/runtime repository](https://github.com/dotnet/performance/blob/master/docs/profiling-workflow-dotnet-runtime.md)
[Benchmarking workflow for dotnet/runtime repository](https://github.com/dotnet/performance/blob/master/docs/benchmarking-workflow-dotnet-runtime.md)

</details>

Name	Value
Architecture	x64
OS	ubuntu 22.04
Queue	TigerUbuntu
Baseline	a2b7214af6fe4c002847b8dcc68aabafc5523fa2
Compare	8ba8249272917366e2382bb4c67a2347d19d2fb6
Diff	Diff
Configs	CompilationMode:tiered, LLVM:false, MonoAOT:false, MonoInterpreter:false, RunKind:micro_mono

Benchmark	Baseline	Test	Test/Base	Test Quality	Edge Detector
Max_Vector - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	3.00 μs	2.36 μs	0.79	0.01	False
MaxMagnitude_Vector - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	3.20 μs	2.97 μs	0.93	0.01	True
Max_Scalar - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	176.09 ns	148.20 ns	0.84	0.01	False
Max_Vector - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	207.37 ns	174.39 ns	0.84	0.01	False
Max_Scalar - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	2.78 μs	2.16 μs	0.78	0.01	False

Benchmark	Baseline	Test	Test/Base	Test Quality	Edge Detector
Max_Scalar - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	5.56 μs	4.25 μs	0.76	0.01	False
Max_Scalar - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	296.94 ns	231.10 ns	0.78	0.01	False
Max_Vector - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	324.94 ns	265.25 ns	0.82	0.01	False
MaxMagnitude_Vector - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	6.32 μs	5.77 μs	0.91	0.00	True
MaxMagnitude_Scalar - Duration of single invocation 📝 - Benchmark Source ADX - Test Multi Config Graph	296.14 ns	279.23 ns	0.94	0.00	True

[Perf] Linux/x64: 10 Improvements on 7/10/2024 6:50:30 PM #38400

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

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

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

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

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

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

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Run Information

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

Repro

Prerequisites (Build files either built locally or downloaded from payload above)

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

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

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

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