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GPUs, short for graphical processing unit, are massively-parallel processors that are optimized to perform parallel operations. Computations that might take days to run on CPUs, take substantially less time on GPUs. We discuss how to use them with Slurm and what are some common pitfalls when running these programs, but we don't go into detail about just how they are programmed or anything like that. https://scicomp.aalto.fi/triton/tut/gpu/ 00:00 What's a GPU and why? 04:12 What to think about using a GPU 08:02 Example: pi with CUDA on a GPU 11:00 Monitoring performance and more ----- This is part of the Aalto Scientific Computing "Getting started with Scientific Computing and HPC Kickstart" 2024 workshop. The videos are available to everyone, but may be most useful to the people who attended the workshop and want to review later. This course covers the basics of using HPC clusters (and day 1, the general background needed to do good scientific computing work). It is recommended for all new researchers. Playlist: • Kickstart - Summer 2024 (Getting star... Workshop webpage: https://scicomp.aalto.fi/training/sci... Aalto Scientific Computing: https://scicomp.aalto.fi/