self-diagnosing-resource-use
OfficialDiagnose and right-size HPC resource use.
Authoryale-som-hpc
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps researchers evaluate whether a Yale SOM HPC Slurm job used its allocated CPUs, memory, GPUs, and wall time efficiently, and guides adjustments for the next submission.
Core Features & Use Cases
- Post-run accounting with sacct and seff to quantify CPU, memory, GPU, and elapsed time usage.
- CPU/memory/GPU diagnostics with clear interpretation rules to identify wasteful over-requesting or under-utilization.
- Guidance and checks for adjusting future resource requests, job scripts, and data placement to optimize performance and fairness.
Quick Start
After a Slurm job completes, run the checkup to assess actual resource usage and plan the next job accordingly.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: self-diagnosing-resource-use Download link: https://github.com/yale-som-hpc/claude-code-marketplace/archive/main.zip#self-diagnosing-resource-use Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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