dotnet / dotnet/perf-autofiling-issues
[Perf] Linux/x64: 1 Improvement on 9/7/2026 11:08:05 AM +00:00
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- Forks
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Description
### Run Information
Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [f8a811758057986566da27d06d8f03a7e5e226bf](https://github.com/dotnet/sdk/commit/f8a811758057986566da27d06d8f03a7e5e226bf)
Compare | [c9b72963eb22ce3f8eb2ad8ebedf9ecef57615da](https://github.com/dotnet/sdk/commit/c9b72963eb22ce3f8eb2ad8ebedf9ecef57615da)
Diff | [Diff](https://github.com/dotnet/sdk/compare/f8a811758057986566da27d06d8f03a7e5e226bf...c9b72963eb22ce3f8eb2ad8ebedf9ecef57615da)
Configs | CompilationMode:tiered, RunKind:imagesharp
### Improvements in SixLabors.ImageSharp.Benchmarks.Codecs.DecodeTga
Benchmark | Baseline | Test | Test/Base | Test Quality | Edge Detector | Baseline IR | Compare IR | IR Ratio
-- | -- | -- | -- | -- | -- | -- | -- | --
|
- [TgaImageSharp - 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.DecodeTga*'
```
### SixLabors.ImageSharp.Benchmarks.Codecs.DecodeTga.TgaImageSharp(TestImage: "Tga/targa_24bit.tga")
#### 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/DecodeTga.cs#L26-L31 and the benchmarking workflow linked in the issue. Run the provided benchmarks_ci.py command for SixLabors.ImageSharp.Benchmarks.Codecs.DecodeTga, then compare the reported baseline and test timings. Done means validating the reported improvement and recording the resulting triage.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- linux, python, ubuntu
- Domain
- performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 32/100