dotnet / dotnet/perf-autofiling-issues
[Perf] Linux/x64: 1 Improvement on 7/17/2026 9:00:41 AM +00:00
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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 | [8c1bd18b8c65722ac42857e5bb2fe68d67f9f63d](https://github.com/dotnet/sdk/commit/8c1bd18b8c65722ac42857e5bb2fe68d67f9f63d)
Diff | [Diff](https://github.com/dotnet/sdk/compare/7e07d48faae88ae9068a6afc91e7524b2112c0e7...8c1bd18b8c65722ac42857e5bb2fe68d67f9f63d)
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]()
![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 the benchmark source at src/benchmarks/real-world/Microsoft.ML.Benchmarks/StochasticDualCoordinateAscentClassifierBench.cs around lines 151-152, then run the provided benchmarks_ci.py command using the Microsoft.ML.Benchmarks.StochasticDualCoordinateAscentClassifierBench filter. Compare the reported baseline and test timings and use the linked report for details; the issue does not define a specific change or completion criterion.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- csharp, python, ubuntu
- Domain
- performance, testing-qa
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100