slurm
OfficialManage GPU workloads on SRP Slurm clusters.
AuthorSerendipityOneInc
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables teams to submit, manage, and monitor GPU-accelerated workloads on SRP's Slurm clusters using Apptainer containers, simplifying complex HPC workflows.
Core Features & Use Cases
- Submit & manage jobs: create and control Slurm batch scripts with SBATCH, srun, and apptainer-based executions for reproducible runs.
- Monitor & debug: inspect job status, queue, resource usage, and logs; access dashboards for overview and per-job metrics.
- Real-world use cases: train large models, run inference pipelines, and batch data processing with containerized environments on SRP clusters.
Quick Start
To run a quick GPU test, create a simple SBATCH script and submit it with sbatch, then monitor with squeue and sacct. For example: sbatch --partition=h100 --gres=gpu:1 --wrap "echo 'Hello Slurm'"
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: slurm Download link: https://github.com/SerendipityOneInc/srp-claude-code-marketplace/archive/main.zip#slurm Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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