Machine learning using PyTorch on DelftBlue 4 December 2024

ml-delftblue

04 december 2024 09:30 t/m 16:30 - Locatie: Penguinlab 2e etage, gebouw 36 (EWI), Mekelweg 4, Delft | Zet in mijn agenda

This course teaches you how to scale up your machine learning workflows to large amounts of data on a supercomputer.

At the end of the day, you should be able to

  1. Understand the basic setup of a supercomputer and the possible bottlenecks in Machine Learning applications;
  2. Run PyTorch examples on CPUs and GPUs on DelftBlue and/or DAIC;
  3. Assess performance on different hardware and make realistic estimates of resource requirements (RAM, CPU/GPU time, data movement);
  4. Optimize your workflows to make good use of computational resources;
  5. Reproduce the steps needed for distributed training on a cluster.

More information

Dancy Bruijnius