February 6, 2024 to March 26, 2024
Virtual Training Series
America/Chicago timezone

Intro to AI-driven Science on Supercomputers Support


Session 6

Mar 12, 2024, 3:00 PM
Zoom (Virtual Training Series)


Virtual Training Series


Session 6: Parallel Training Methods

  • Sam Foreman (LCF)
  • Alessandro Lovato (ANL)


We present modern parallelism techniques and discuss how they can be used to train and distribute large models across many GPUs.

Sam Foreman is a Computational Scientist with a background in high energy physics, currently working as a postdoc in the ALCF. He is generally interested in the application of machine learning to computational problems in physics, particularly within the context of high-performance computing. Sam's current research focuses on using deep generative modeling to help build better sampling algorithms for simulations in lattice gauge theory.

Presentation Materials

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