Machine learning on HPC - IntroductionTraining

by Dr Iryna Okhrin (ScaDS.AI) , Lena Jurkschat (TU Dresden) , Wenyu Zhang (TU Dresden)

Thursday May 4, 2023, 10:00 AM → 3:00 PM Europe/Berlin

online (TU Dresden)

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.

 

[Update 27.02.2023]: at the moment there are no more places available. By registering below, you will add your name to a waiting list. Depending on the number of registrations on the waiting list, you will either join the original training on April 20 or a new training on May 4. Registration closes on March 31, and waitlist participants will be notified of the training date shortly thereafter.