perf-host-optimization
Skill2 starsChanged 3 months agoLicence not identifiedView on GitHub
Profiles and optimizes LLM inference host / CPU overhead (vLLM / SGLang / TRT-LLM serve / lmdeploy / TensorRT-LLM PyExecutor) using line_profiler (with nsys support planned). Runs iterative profile-analyze-optimize-validate rounds. Use when GPU utilization is low, when perf-host-analysis has concluded "host-bound", or when the user asks to reduce host overhead / Python scheduling overhead / sampler latency / inference loop overhead. Triggers also include: "削 host overhead", "降 launch overhead", "优化 scheduler", "GPU 利用率低怎么提".
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- NVIDIA/TensorRT-LLMedited, first seen Aug 17, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- NVIDIA/TensorRT-LLM★ 15k76% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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19 rules. About 0 are common, 14 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈14
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This author's own choices. Worth a look.
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≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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