CANCELED: Fundamentals of Deep Learning for Multi-GPUs (Day 2)

Date
Sep 28, 2022, 1:00 pm4:30 pm
Location
View location on My PrincetonU
Event Description
THIS WORKSHOP HAS BEEN CANCELED. IT WILL BE RESCHEDULED FOR OCTOBER.

Note: By registering for Day 1 you will automatically be registered for Day 2. You cannot register for Day 2. This page is a placeholder.

This workshop teaches you techniques for training deep neural networks on multi-GPU technology to shorten the training time required for data-intensive applications. Working with deep learning tools, frameworks, and workflows to perform neural network training, you’ll learn concepts for implementing PyTorch multi-GPUs to reduce the complexity of writing efficient distributed software and to maintain accuracy when training a model across many GPUs.

Workshop format: Interactive presentation with hands-on exercises

Target audience: This workshop is intended for researchers that would like to use multiple GPUs to train deep learning models in PyTorch.

Knowledge prerequisites: Participants should be comfortable with training deep learning models using a single GPU.

Hardware/software prerequisites: Bring a laptop and power cable. All of the hands-on exercises will be done in a web browser on the NVIDIA cloud.

Learning objectives: Participants will learn the theory and practice of training deep learning models using multiple GPUs.

Accessibility

To request accommodations for this or any event, please contact the organizer or James M. Van Wyck at least 3 working days prior to the event.