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Artemis Training Series

This is the overview page for the Artemis 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 on the Artemis HPC Introduces GPU computing, and running GPU jobs on Artemis and other HPC systmes. We teach fundamentals of basic CUDA code, and write and run examples using C/CUDA, Matlab, and Python. You will undertake practical applications in Deep Learning using Python, Tensorflow, and Keras. You will learn how to set up suitable environemnts on Artemis for GPU-enabled applications to run, and how to run and submit jobs on the Artemis HPC GPU queue.

Where to change things

If you want to modify this training content, the files and folders you are interested in are mostly: files index.md, setup.md, and folders _episodes, data, fig. Have fun!

iii. Checking your work

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.

We'd like to ask you to familiarise yourself with our Contribution Guide and have a look at The Carpentries' detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.

Maintainer(s)

  • Cali Willet
  • Nathaniel Butterworth
  • Tracy Chew

Contact [email protected].