Registration
Register for the tutorial “Machine Learning on HPC – Introduction” until October 1, 2025.

Title: Machine Learning on HPC – Introduction
Next session: 09.10.2025
Speaker: Prof. Alexander Binder, Paramita Mirza, Dr. Peter Winkler
Target Group: HPC Basics / HPC User
Language: English
Format: Online Tutorial
Register for the tutorial “Machine Learning on HPC – Introduction” until October 1, 2025.
The use of High Performance Computing (HPC) systems can have huge advantages for Machine Learning methods. Due to the heterogeneity of Machine Learning applications, the motivation to switch to an HPC system can be manifold, e.g. large memory requirements, GPU usage or increase of computational speed. This course presents how a typical Machine Learning workflow can be realized in the HPC environment. It is possible to switch to the HPC system at different points in the workflow – depending on the requirements. The development of Machine Learning applications is often done by collaborative work within groups, which is also taken into account in this course.
The course material (slides, sample application) will be available.
Participants should have knowledge of Python, Tensorflow or Pytorch and the use of the Linux shell.
Participants will gain knowledge about the implementation of Machine Learning workflows using specific examples, taking into account individual requirements.