dotnet / dotnet/perf-autofiling-issues

[Perf] Linux/x64: 1 Improvement on 7/23/2026 11:16:20 AM +00:00

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arch-x64 branch-11.0 compilationmode-tiered kind-mlnet Look Again os-linux perf-improvement runkind-mlnet runtime-coreclr untriaged
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Description

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [7e07d48faae88ae9068a6afc91e7524b2112c0e7](https://github.com/dotnet/sdk/commit/7e07d48faae88ae9068a6afc91e7524b2112c0e7)
Compare | [d2b524965e50619e8db62ed35943981830e1008d](https://github.com/dotnet/sdk/commit/d2b524965e50619e8db62ed35943981830e1008d)
Diff | [Diff](https://github.com/dotnet/sdk/compare/7e07d48faae88ae9068a6afc91e7524b2112c0e7...d2b524965e50619e8db62ed35943981830e1008d)
Configs | CompilationMode:tiered, RunKind:mlnet

### Improvements in Microsoft.ML.Benchmarks.StochasticDualCoordinateAscentClassifierBench

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

  • [PredictIris - Duration of single invocation]()
  • 📝 - [Benchmark Source]()
  • [ADX - Test Multi Config Graph]()
| 186.55 ns | 160.62 ns | 0.86 | 0.00 | True | | |

![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 'Microsoft.ML.Benchmarks.StochasticDualCoordinateAscentClassifierBench*'
```

### Microsoft.ML.Benchmarks.StochasticDualCoordinateAscentClassifierBench.PredictIris

#### 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 src/benchmarks/real-world/Microsoft.ML.Benchmarks/StochasticDualCoordinateAscentClassifierBench.cs, especially PredictIris at lines 151-152, then run the provided benchmarks_ci.py command with the listed filter. Review the linked benchmark and IR reports against the baseline and compare commits; done means explaining or validating the reported performance change.

Written by the indexing model from the issue text.

Assessment

Tech stack
csharp, linux, python, ubuntu
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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