dotnet / dotnet/perf-autofiling-issues

[Perf] Linux/x64: 1 Improvement on 2/27/2026 9:07:45 AM +00:00

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arch-x64 branch-10.0 kind-mlnet os-linux perf-improvement runtime-coreclr untriaged
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Description

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [0b60d265d30d96c827b73dbce74cb78f600d3c92](https://github.com/dotnet/sdk/commit/0b60d265d30d96c827b73dbce74cb78f600d3c92)
Compare | [181f8798913e9c234e19756db58f38a8cac176ea](https://github.com/dotnet/sdk/commit/181f8798913e9c234e19756db58f38a8cac176ea)
Diff | [Diff](https://github.com/dotnet/sdk/compare/0b60d265d30d96c827b73dbce74cb78f600d3c92...181f8798913e9c234e19756db58f38a8cac176ea)
Configs | CompilationMode:tiered, RunKind:mlnet

### Improvements in Microsoft.ML.Benchmarks.KMeansAndLogisticRegressionBench

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

  • [TrainKMeansAndLR - Duration of single invocation]()
  • 📝 - [Benchmark Source]()
  • [ADX - Test Multi Config Graph]()
| 33.86 ms | 12.49 ms | 0.37 | 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.KMeansAndLogisticRegressionBench*'
```

### Microsoft.ML.Benchmarks.KMeansAndLogisticRegressionBench.TrainKMeansAndLR

#### 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/KMeansAndLogisticRegressionbench.cs#L24-L53 and reproduce it using scripts/benchmarks_ci.py with the provided filter. Compare the reported baseline and test results with the linked history and report. The issue does not define a code change or completion criteria, so triage must establish what, if anything, should be changed.

Written by the indexing model from the issue text.

Assessment

Tech stack
csharp, python
Domain
machine-learning, performance
Issue type
Bug
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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