author	title
Alexandre Strube, Sabrina Benassou, Javad Kasravi	Deep Learning in Neuroscience on the Supercomputers of the Jülich Supercomputing Centre

This repo is specifically for the course described in hifis

It's a single-morning course - a short version of the Bringing Deep Learning Workloads to JSC supercomputers course.

This course will take place as an in-person event.

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Course description:

Fancy using High Performance Computing machines for AI? Fancy learning how to run your code one of Europe's fastest computers, like JUWELS Booster, at FZJ?

In this workshop, we will guide you through the first steps of using the supercomputer machines for your own AI application. This workshop should be tailored to your needs - and our team will guide you through questions like:

• How do I get access to the machines?
• How do I use the pre-installed, optimized software?
• How can I run my own code?
• How can I store data so I can access it fast in training?
• How can parallelize my training and use more than one GPU?

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In this workshop, we will try to get your code and your workflow running and would like to make the start on a supercomputer as smooth as possible. After this course, you are not only ready to use not only HAICORE but you have made your first step into unlocking compute resources even on the largest scale with a compute time  application at the Gauss Supercomputing Center.

This workshop will be held in a small group size with enough space to address your questions. Please give us an indication on what topics you are interested in and we will try to adjust.

This course will be repeated in May, September and November. Exact dates are not yet available.

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Language:

This course is given in English.

Date:

November 19, 2024

Further information:

please visit the HIFIS webpage: https://go.fzj.de/dl-in-neuroscience-course

Instructors:

• Dr. Alexandre Strube, JSC
• Dr. Sabrina Narimene Benassou, JSC
• Javad Kasravi

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How to generate HTML

• You need pandoc. On a mac, use brew install pandoc.
• After that, just call make to create the self-contained HTML files.

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Contributing

Please, fork this thing! Use it! And submit merge requests!

Authors and acknowledgment

Alexandre Otto Strube, Sabrina Benassou, Javad Kasravi Nov. 2024

Certificate

Certificates will be provided to all participants who attend the course.

License

MIT License (https://opensource.org/licenses/MIT)