Submit, monitor, and manage Slurm jobs on the Cheaha HPC cluster.
npx skills add https://github.com/jakechen1/echo-research-framework --skill cheaha-hpc
Please help me install this Agent Skill. Skill: cheaha-hpc Source: https://github.com/jakechen1/echo-research-framework/tree/main/skills/cheaha-hpc Command: npx skills add https://github.com/jakechen1/echo-research-framework --skill cheaha-hpc
Cheaha HPC users can submit, monitor, and manage compute jobs on the UAB Cheaha Slurm cluster without manual SSH juggling, reducing queue wait times and human error.
Create a sbatch script (CPU or GPU) and submit using the provided submit wrapper, then monitor with the status script.
High-intent search queries and answers about installing and using this skill.
Submit and monitor Slurm jobs on Cheaha HPC using a provided submission wrapper for sbatch scripts and a status script for real-time tracking via squeue and historical checks via sacct.
Running GPU-intensive model training on Cheaha involves creating a GPU sbatch script and submitting it via the provided wrapper, which includes preflight validation for partitions and resources to ensure policy-compliant execution.
Yes, this approach validates Slurm resource requests before submission by running preflight checks on partition, time, memory, and CPUs-per-task to ensure reproducible runs and reduce queue wait times.
Yes, you can manage interactive sessions on Cheaha using Slurm without manual SSH juggling, as the workflow handles submission and monitoring directly to reduce human error.
Track historical resource usage for completed Cheaha HPC jobs using the sacct command integrated into the status monitoring script, allowing you to review performance after runs finish.
KwongFukEvaluate SBATCH resource requests against Palmetto node availability.
yale-som-hpcDiagnose Slurm job CPU, memory, and GPU utilization using sacct, seff, and nvidia-smi.
aaaxnLaunch and manage GPU-accelerated SLURM jobs on the SONIC cluster.
QuantumBFSGenerate standardized TOML profiles and verify SSH access for HPC clusters.
