Astropy
Astropy是一个core Python package ,用于 astronomy,providing essential functionality ,用于 astronomical research 、 数据分析。 Use astr…
维护者 FreedomIntelligence · 最近更新 2026年4月1日
performance-profiling:Identify computational bottlenecks,analyze scaling behavior,estimate memory requirements,、 receive optimization recommendations ,用于 any computational 模拟。 适合在模拟s are slow,investigating parallel efficiency,planning resource allocation,或 seeking performance improvements through timing analysis,scaling studies,memory profiling,或 bottleneck detection时使用。
原始来源
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/performance-profiling
技能摘要
原始文档
Before running profiling scripts, collect from the user:
| Input | Description | Example |
|---|---|---|
| Simulation log | Log file with timing information | simulation.log |
| Scaling data | JSON with multi-run performance data | scaling_data.json |
| Simulation parameters | JSON with mesh, fields, solver config | params.json |
| Available memory | System memory in GB (optional) | 16.0 |
| Metric | Good | Acceptable | Poor |
|---|---|---|---|
| Phase dominance | <30% | 30-50% | >50% |
| Parallel efficiency | >0.80 | 0.70-0.80 | <0.70 |
| Memory usage | <60% | 60-80% | >80% |
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