ML-HPC-B-Tutorial: Machine Learning on HPC - Introduction

Due to the heterogeneity of ML applications, the motivation to switch to an HPC system can be manifold, e.g. due to large memory requirements, GPU usage or increase of computation speed. The course presents how a typical ML 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 ML applications is often done by collaborative work within groups, which is also taken into account in the implementation of the ML workflow.

The course is free of charge. Course language: English.
Please register here until Jan 03, 2022: Registration Machine Learning

You will receive the access data via email to your registered email address before the event. If you have any questions, please do not hesitate to contact Ms. Anja Gerbes  ().