This is the overview page for the Research Computing training course series. The individual lessons are listed below:
| Lesson Repo | Overview |
|---|---|
| Introduction to Artemis HPC | Introduces USyd's High Performance Computer (HPC), ‘Artemis’. We cover connecting and navigating Artemis, available software, and how to submit and monitor jobs using the PBS Pro scheduler. |
| Introduction to the Research Data Store and Data Transfer | Learn how to transfer data between your local computer, external sources, the University's Research Data Store (RDS) and Artemis HPC. |
| Intermediate Artemis HPC | Learn how to automate multiple-run analyses with job arrays and do simple bash scripting on Artemis. The live training consists of two hours of instruction and practical exercises. |
| Matlab on Artemis: The MDCS | Artemis HPC hosts a Matlab Distributed Computing Server (MDCS) - this allows users to submit MATLAB jobs directly to Artemis from within their local Matlab instance on their machines. Come and learn how to use this service. |
| Introduction to GPU computing with HPC | Introduces GPU computing, and running GPU jobs on Artemis and other HPC systmes. |
| Introduction to GPU computing on Windows 10 | Introduces GPU computing, and running GPU jobs on the Argus Virtual Research Desktops. A windows 10 machine. |
| Parallel Python | Learn some simple and effective tools and logic to make your Python code faster, then learn how to use brute force to scale it on a HPC cluster. |
| Blockchain for Researchers | This course is aimed at researchers who want to learn more about the blockchain and various use cases for it. |
The rendered version of this page is live at: https://sydney-informatics-hub.github.io/training.artemis/
We welcome all contributions to improve our courses! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.
- Hayim Dar
- Nathaniel Butterworth
- Tracy Chew.
Contact [email protected].