GPU Programming Challenge

Link for the scoreboard: https://docs.google.com/spreadsheets/d/1z2D0bqiVbr950A0H-TTJzXy65P3MRjnIuaNOudXlvhc/edit?usp=sharing

If you missed the first part of the tutorial:

Get access to a JupyterHub instance with access to an A40 GPU on Alex:

• Go to https://hub.nhr.fau.de/jupyter-training-nhr-grad-school-access.php
• Enter your e-mail address and submit
• Click on the link in the e-mail you received
• Accept terms and conditions
• Choose profile "Alex - 1x A40, 8 hours (Container - NHR Course Week 2025)
• Click on "Start my server"
• Work
• Stop the server:
  • Go to "File -> Hub Control Panel"
  • Click on "Stop my server"
  • Wait
  • If you don't stop the server, resources will be blocked until the cluster job runs out (up to eight hours)

Material is available at https://github.com/SebastianKuckuk/gpu-programming-approches .

In JupyterHub, open a shell and clone the repository via

git clone https://github.com/SebastianKuckuk/gpu-programming-approches