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Introduction to PyTorch for HPC

Introduction to PyTorch for HPC

An introduction to PyTorch for UVA’s HPC environment. This session is designed for those with a background in deep learning theory, basic PyTorch skills, and familiarity with HPC concepts. You'll learn how to efficiently train deep learning models using PyTorch on HPC systems. We'll guide you through the basics of setting up and optimizing PyTorch and SLURM scripts. We’ll cover multicore and GPU accelerated training. By the end of the workshop, you'll be equipped with the knowledge and skills to leverage PyTorch and our HPC environment for your deep learning projects.

Prerequisites: Basic knowledge of Python programming, familiarity with high-performance computing (HPC) concepts, and a foundational understanding of deep learning theory.

Rivanna account required.

Date:
Tuesday, September 10, 2024
Time:
12:00pm - 1:30pm
Categories:
Data Workshop Data Workshop > Research Computing Data Workshop Workshop
Presenter:
Angela Boakye Danquah & Kathryn Linehan
Registration has closed.

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The UVA Library is committed to hosting library events that are inclusive and welcoming to all. If you need certain accommodations to participate fully in this event, please contact libevents@virginia.edu.

Event Organizer

Angela Boakye Danquah
Kathryn Linehan
Ricky Patterson