dotnet / dotnet/perf-autofiling-issues

[Perf] Linux/x64: 1 Improvement on 7/13/2026 2:43:38 AM +00:00

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aot-true arch-wasm arch-x64 branch-refs/heads/main compilationmode-wasm kind-micro Noise os-linux perf-improvement runkind-micro untriaged wasm-aot
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Description

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [0e7b627c152a3c1885d1db498d81d01de55a3391](https://github.com/dotnet/runtime/commit/0e7b627c152a3c1885d1db498d81d01de55a3391)
Compare | [8df98c4d2d17bcba98193afa9ae2e72908921f86](https://github.com/dotnet/runtime/commit/8df98c4d2d17bcba98193afa9ae2e72908921f86)
Diff | [Diff](https://github.com/dotnet/runtime/compare/0e7b627c152a3c1885d1db498d81d01de55a3391...8df98c4d2d17bcba98193afa9ae2e72908921f86)
Configs | AOT:true, CompilationMode:wasm, RunKind:micro

### Improvements in System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>

Benchmark | Baseline | Test | Test/Base | Test Quality | Edge Detector | Baseline IR | Compare IR | IR Ratio
-- | -- | -- | -- | -- | -- | -- | -- | --
|

  • [Sigmoid - Duration of single invocation]()
  • 📝 - [Benchmark Source]()
  • [ADX - Test Multi Config Graph]()
| 29.53 μs | 27.97 μs | 0.95 | 0.28 | False | | |

![graph]()
[Test Report]()

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

```cmd
git clone https://github.com/dotnet/performance.git
python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives*'
```

### System.Numerics.Tensors.Tests.Perf_FloatingPointTensorPrimitives<Single>.Sigmoid(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)

Contributor guide

No contributing guide indexed for this repository

Research direction

Start with the benchmark source in performance/src/benchmarks/micro/libraries/System.Numerics.Tensors/Perf_FloatingPointTensorPrimitives.cs, then review the linked benchmark and profiling workflow documents. Rerun the supplied benchmarks_ci.py command for the Sigmoid case and compare the reported baseline and test results. Done means identifying whether the improvement is reproducible and what follow-up, if any, is warranted.

Written by the indexing model from the issue text.

Assessment

Tech stack
csharp, python, wasm
Domain
performance
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

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