Workshop web site: https://training.sharcnet.ca/courses/course/view.php?id=197Alliance account is required for registration.PyTorch is one of the most popular deep learning frameworks in use today. In this course, we will learn how to get the most out of our PyTorch code when using HPC resources. Topics covered include profiling and debugging PyTorch code, different types of parallelism in PyTorch, and hyper-parameter tuning using HPC resources.The workshop consists of four parts delivered online on Tues. Feb. 4, Fri. Feb. 7,  Tues. Feb. 11, and Fri. Feb. 14 from 1 P.M. to 2 P.M. Eastern Time. Recordings of live classes will be available afterwards in this course for self-paced learning and review.