Welcome to HPC Workshop 3 - Module Systems and Slurm Jobs — an essential part of your journey toward mastering High Performance Computing (HPC) with HSUper! This workshop introduces you to two critical aspects of HPC: managing software environments with module systems and efficiently submitting and managing tasks using the Slurm workload manager.

This training is part of the reimagined HSUper Workshops series, originally offered as a six-part on-site program and now presented as flexible, self-paced digital trainings.

Learning Goals

• Module Systems: In this course you will learn how to understand module Systems and practice how to list, load and unload software modules.

• Compute Nodes: After that, you will practice to allocate compute nodes interactively.

• Slurm Jobs: Last but not least we will focus on writing, configuring and submitting Slurm jobs, as well as practicing to handle the job queue, update queued jobs and cancel running jobs.

Level of Difficulty

This workshop is tailored for new HSUper users at the Beginner-Level who are ready to take their first steps in the world of HPC. Whether you’re exploring computational science, running data-intensive simulations, or optimizing large-scale workflows, this course provides the foundational knowledge you need to get started.

Requirements

While this course is free to use for everyone, you will need access to HSUper and access to the campus network (VPN possible), to actually work through it.

• Access to HSUper

You should already have acquired the skills from the previous workshops:

• HPC Workshop 1 - A short introduction to HSUper and the Linux Terminal
• HPC Workshop 2 - HPC Workshop 2 - Data Transfer and System Resources

Files for Download

This training material HPC Workshop 1 - A short introduction to HSUper and the Linux Terminal has been created using the Adapt Authoring Tool and is published as Open Educational Resource (OER) under the Creative Commons Attribution 4.0 International license CC BY 4.0. You are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material for any purpose, even commercially), provided that appropriate credit is given to the original author(s), a link to the license is included, and any changes made are indicated. The downloadable file includes a ZIP file with the raw-data exported from Adapt, the training-tasks and a README file with a short explanation about how to use the files.

Attribution should include the name of the author(s), the title of the work, a reference to the source, and a link to the license. Please see Acknowledgement for further information.

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