Bringing Deep Learning Workloads to JSC supercomputers (training course, online, 1st run)

(Course no. 11820241 in the training programme 2024 of Forschungszentrum Jülich)

This course will take place as an online event. The link to the streaming platform will be provided to the registrants only.

Contents:

Fancy using High Performance Computing machines for AI? Fancy learning how to run your code one of Europe's fastest computers 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?

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.

Prerequisites:

This course assumes that you have a minimal experience with running Python and Machine Learning Frameworks like Tensorflow and Pytorch.

Language:

This course is given in English.

Duration:

2 half days

Date:

12-13 March 2024, 10:00-14:00 each day

Venue:

Online

Number of Participants:

minimum 5, maximum 25

Instructors:

Dr. Alexandre Strube, JSC
Sabrina Narimene Benassou, JSC

Contact:

Dr. Alexandre Strube

• Institute for Advanced Simulation (IAS)
• Jülich Supercomputing Centre (JSC)

Building 16.3v /
Room 3001/3002

+49 2461/61-3866

E-Mail

Sabrina Benassou

• Institute for Advanced Simulation (IAS)
• Jülich Supercomputing Centre (JSC)

Building 14.14 /
Room 3002

+49 2461/61-85383

E-Mail

Registration:

Please register via the registration form until 5 March.