https://github.com/sydney-informatics-hub/training.artemis.python
Parallel computing with Python for HPC https://sydney-informatics-hub.github.io/training.artemis.python/
https://github.com/sydney-informatics-hub/training.artemis.python
Last synced: 5 months ago
JSON representation
Parallel computing with Python for HPC https://sydney-informatics-hub.github.io/training.artemis.python/
- Host: GitHub
- URL: https://github.com/sydney-informatics-hub/training.artemis.python
- Owner: Sydney-Informatics-Hub
- License: other
- Created: 2020-01-16T04:12:36.000Z (over 6 years ago)
- Default Branch: gh-pages
- Last Pushed: 2022-07-03T22:47:36.000Z (almost 4 years ago)
- Last Synced: 2025-09-04T17:19:55.093Z (10 months ago)
- Language: Python
- Homepage:
- Size: 7.35 MB
- Stars: 2
- Watchers: 5
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.md
Awesome Lists containing this project
README
# 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](https://github.com/Sydney-Informatics-Hub/training.artemis.introhpc) | 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](https://github.com/Sydney-Informatics-Hub/training.artemis.rds) | Learn how to transfer data between your local computer, external sources, the University's Research Data Store (RDS) and Artemis HPC. |
|[Intermediate Artemis HPC](https://github.com/Sydney-Informatics-Hub/training.artemis.interhpc) | 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. |
|[Parallel Python](https://github.com/Sydney-Informatics-Hub/training.artemis.python) | Learn some simple and effective tools and logic to make your Python code faster, then just use brute force to run it on a HPC cluster. |
|[Matlab on Artemis: The MDCS](https://informatics.sydney.edu.au/training/coursedocs/MDCS_MatlabTraining.pdf) | 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. |
## Contributing
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](CONTRIBUTING.md) and have a look at
The Carpentries' [detailed guidelines][lesson-example] on proper formatting, ways to render the lesson locally, and even how to write new episodes.
## Maintainer(s)
* Kristian Maras
* Nathaniel Butterworth
* Tracy Chew.
Contact [sih.training@sydney.edu.au](mailto:sih.training@sydney.edu.au).
[lesson-example]: https://carpentries.github.io/lesson-example