Running machine learning example (MNIST) on multi-cores/nodes in Graham
In this webinar we will demonstrate how to setup the virtual environment and run a machine learning code written in either TensorFlow or PyTorch on Graham system. The demonstration will show how to run the code interactively and via scheduler, with multi-core on a single node and with multi-core on multiple nodes.
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This webinar was presented by Isaac Ye (SHARCNET) on November 3rd, 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://helpwiki.sharcnet.ca/wiki/Onl... . 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).
