dotnet / dotnet/perf-autofiling-issues
[Perf] Linux/x64: 1 Improvement on 7/5/2026 8:48:30 AM +00:00
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Description
### Run Information
Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [a9679a8de87742e170318ea39f7f0e2874bcd441](https://github.com/dotnet/sdk/commit/a9679a8de87742e170318ea39f7f0e2874bcd441)
Compare | [02385e26e452b21a97d8a5e694fe3ada7259a582](https://github.com/dotnet/sdk/commit/02385e26e452b21a97d8a5e694fe3ada7259a582)
Diff | [Diff](https://github.com/dotnet/sdk/compare/a9679a8de87742e170318ea39f7f0e2874bcd441...02385e26e452b21a97d8a5e694fe3ada7259a582)
Configs | CompilationMode:tiered, RunKind:imagesharp
### Improvements in SixLabors.ImageSharp.Benchmarks.Codecs.Jpeg.DecodeJpeg
Benchmark | Baseline | Test | Test/Base | Test Quality | Edge Detector | Baseline IR | Compare IR | IR Ratio
-- | -- | -- | -- | -- | -- | -- | -- | --
|
- [JpegProgressiveNonInterleaved420 - 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 'SixLabors.ImageSharp.Benchmarks.Codecs.Jpeg.DecodeJpeg*'
```
### SixLabors.ImageSharp.Benchmarks.Codecs.Jpeg.DecodeJpeg.JpegProgressiveNonInterleaved420
#### 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/ImageSharp/Codecs/Jpeg/DecodeJpeg.cs#L63-L64 and the linked performance report. Run the provided benchmarks_ci.py command to reproduce the JPEG decoding result, then investigate the reported change and validate any performance explanation or fix against the benchmark.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- linux, python
- Domain
- performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100