dotnet / dotnet/perf-autofiling-issues

[Perf] Linux/x64: 1 Improvement on 8/26/2026 9:48:17 AM +00:00

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

### Run Information

Name | Value
-- | --
Architecture | x64
OS | ubuntu 22.04
Queue | ViperUbuntu
Baseline | [c545c4e3f9e2ebc10c6b3e2626187e18569adcf2](https://github.com/dotnet/sdk/commit/c545c4e3f9e2ebc10c6b3e2626187e18569adcf2)
Compare | [4c748e02ce5e52a5e2a3ea1169f97705723b6c1a](https://github.com/dotnet/sdk/commit/4c748e02ce5e52a5e2a3ea1169f97705723b6c1a)
Diff | [Diff](https://github.com/dotnet/sdk/compare/c545c4e3f9e2ebc10c6b3e2626187e18569adcf2...4c748e02ce5e52a5e2a3ea1169f97705723b6c1a)
Configs | CompilationMode:tiered, RunKind:imagesharp

### Improvements in SixLabors.ImageSharp.Benchmarks.Processing.Diffuse

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

  • [DoDither - Duration of single invocation]()
  • 📝 - [Benchmark Source]()
  • [ADX - Test Multi Config Graph]()
| 8.40 ms | 7.39 ms | 0.88 | 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 'SixLabors.ImageSharp.Benchmarks.Processing.Diffuse*'
```

### SixLabors.ImageSharp.Benchmarks.Processing.Diffuse.DoDither

#### 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/Processing/Diffuse.cs and the benchmarking workflow linked in the issue. Run the provided benchmarks_ci.py command, then compare the baseline and test reports to determine whether the DoDither improvement is reproducible and what change could account for it; the issue does not define a specific fix or completion criterion.

Written by the indexing model from the issue text.

Assessment

Tech stack
git, python, ubuntu
Domain
performance, testing-qa, tooling
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
35/100

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