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ROCm (Radeon Open Compute) platform developed by AMD aims to provide a fully open-source alternative to Nvidia's CUDA platform. It incorporates HIP (Heterogeneous-Computing Interface for Portability), a C++ dialect designed to ease conversion of CUDA applications to portable C++ code. It comes with a tool to port CUDA source code automatically to HIP. HIP code can be compiled to run both on NVIDIA and AMD GPUs. A rich set of mathematical libraries is included in ROCm, as well as support for major ML frameworks like TensorFlow and PyTorch. The seminar will introduce ROCm, show some examples of HIP code, and look at performance obtained on NVIDIA and AMD GPUs. _______________________________________________ This webinar was presented by Pawel Pomorski (SHARCNET) on September 22rd, 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).