Bringing Deep Learning Workloads to JSC supercomputers (training course, online, 2nd run)

Anfang
24.06.2025 11:00 Uhr
Ende
25.06.2025 15:00 Uhr
Veranstaltungsort
Online

(Kurs-Nr. 8720252 im Trainingsprogramm 2025 des Forschungszentrums Jülich)

Dieser Kurs findet als Online-Veranstaltung statt. Der Link zur Streaming-Plattform wird nur den Teilnehmern zur Verfügung gestellt, die sich anmelden.

Inhalt:

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.

Voraussetzungen:

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

Sprache:

This course is given in English.

Dauer:

2 half days

Zeit:

24 - 25 June 2025, each day from 13:00 - 17:00 Uhr

Ort:

Online

Anzahl der Teilnehmenden:

minimum 5, maximum 25

Referierende:

Dr. Alexandre Strube, JSC
Sabrina Narimene Benassou, JSC

Kontakt:

  • Institute for Advanced Simulation (IAS)
  • Jülich Supercomputing Centre (JSC)
Gebäude 16.3v /
Raum 3001/3002
+49 2461/61-3866
E-Mail
  • Institute for Advanced Simulation (IAS)
  • Jülich Supercomputing Centre (JSC)
Gebäude 14.14 /
Raum 3002
+49 2461/61-85383
E-Mail

Anmeldung:

Zum Anmeldungsformular: https://indico3-jsc.fz-juelich.de/event/232/

Letzte Änderung: 01.04.2025