Welcome to HPC Workshop 2 - Data Transfer and System Resources — your next step in mastering High Performance Computing (HPC) with HSUper! This training builds on the foundations established in Workshop 1 - A short Introduction to HSUper and the Linux Terminal and focuses on essential skills for effectively managing data and understanding system resources.

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

• Data Transfer: You will learn how to transfer data to and from HSUper.

• Get Information: After learning about data transfer, you will learn how to get all the information you need to manage your tasks. That includes information about the storage system, obtaining hardware information and information about nodes and partitions.

• Cluster Utilization: Last but not least, you will learn how to understand current cluster utilization. That will help you to manage your workloads effectively and plan your future resource needs.

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 workshop:

• HPC Workshop 1 - A short introduction to HSUper and the Linux Terminal

Files for Download

This training material HPC Workshop 2 - Data Transfer and System Resources 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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