The Toronto ML Systems Group : Introduction To Writing GPU Kernels

​GPU kernels sound intimidating, but they don't have to be. Join the Toronto ML Systems Group for a hands-on evening where we break down the basics of writing GPU kernels using Triton, a Python-like language that lets you write high-performance GPU code without experience in CUDA.

​This is the second session of the Toronto ML Systems group, a recurring meetup for those who want to get serious about the full stack, from chips and ML compilers to kernel writing, model architectures, distributed training, and everything in between. If you've been curious about GPU programming but never had a structured place to start, this is it. Bring your laptop because this is a workshop with live, hands-on practice. Some Python experience will go a long way since Triton's syntax will feel familiar. See you there.

We intend to have more meetups looking at different GPU programming languages and frameworks. Stay tuned.