Using multiple GPUs for Machine Learning

In this seminar, we will demonstrate how to run Machine Learning codes (TensorFlow and PyTorch) on Compute Canada systems using multiple GPUs. We will consider two cases - when the GPUs are inside a single node, and a multi-node case.
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This webinar was presented by Isaac Ye (SHARCNET) on February 10, 2021, as a part of a series of regular biweekly General Interest webinars ran by SHARCNET. The webinars cover different high performance computing (HPC) topics, are approximately 45 minutes in length, and are delivered by experts in the relevant fields. Further details can be found on this web page: https://www.sharcnet.ca/help/index.ph... . Subscribe to our twitter account (@SHARCNET) to stay updated about our upcoming webinars.

SHARCNET is a consortium of 19 Canadian academic institutions who share a network of high performance computers (http://www.sharcnet.ca). SHARCNET is a part of Compute Ontario (http://computeontario.ca/) and Compute Canada (https://computecanada.ca).