slurm

Official

Manage 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 required

Components

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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