SmartSim 2024 - Sept 26, 2024

Introduction

SmartSim is a workflow library that makes it easier to use common Machine Learning (ML) libraries, like PyTorch and TensorFlow, in High Performance Computing (HPC) simulations and applications. This allows the launching of ML infrastructure on HPC systems alongside user workloads. SmartSim also allows ML to be written in Python, while still interfacing with Fortran, C, and C++ applications at HPC scale.

In this training, an overview of SmartSim and best practices will be provided, along with specific examples of how to use it on Frontier (OLCF) and Perlmutter (NERSC). This training is intended for current Frontier and Perlmutter users. Non-users are welcome to sign-up, attend the virtual presentations, and encouraged to download the public tutorials for themselves (see GitHub link below).

For more information about SmartSim prior to the training, please see:
– GitHub: https://github.com/CrayLabs
– Documentation: https://www.craylabs.org/docs/overview.html

Registration

Please visit the OLCF training event page for registration information.

Presentation Materials

• Tutorial link
• Slides
• Recording