Registration:: https://www.eventbrite.ca/e/1112673328879

Learn several CPU-GPU best practices in order to properly use these resources.

Over the past decade, GPUs have taken a central role in several disciplines where huge amounts of data and intensive computing are required thanks to their significant parallel computing capacity.

Once an obscure art, programming on GPUs is now not that different from writing code for CPUs. It is sometimes even possible to run the same program on one or the other without changing the code.

This leads to the question: when is it advantageous to use a GPU versus one or more CPUs? And in cases where GPU is the right choice, how to get the most out of it and avoid wasting resources?

This workshop, focused on practical examples, will help you make informed choices while presenting you with good usage practices.

Plan:

• CPU vs GPU: Overview
• Monitoring tools
• Code profiling tools