Working with Python on HPC Clusters

Submission Number: 324
Submission ID: 4809
Submission UUID: ce38c1be-fc3b-441a-8d7a-d0c326b0bcf7
Submission URI: /form/resource

Created: Thu, 09/19/2024 - 13:06
Completed: Thu, 09/19/2024 - 13:06
Changed: Fri, 09/27/2024 - 22:09

Remote IP address: 129.174.182.30
Submitted by: Swabir Silayi
Language: English

Is draft: No
Yes
Working with Python on HPC Clusters
Docs
pytorch, batch-jobs, job-submission, scheduling, slurm, modules, scripting, conda, python
Beginner, Intermediate
This tutorial series and documentation covers topics on using Python on HPC clusters. The specific steps are based on the HOPPER cluster at George Mason University in Fairfax, VA. They should be implementable on most HPC clusters that have the SLURM scheduler installed, the Environment Modules system for managing packages and Open onDemand for a web-based GUI to access the cluster resources.