How To Write A CUDA Program: The Parallel Programming Edition

Join one of CUDA's architects on a journey through the concepts of parallel programming: how it works, why it works, why it's not working when you think it should be working, and in particular why it's different on a GPU from a CPU. We'll look at different approaches to parallel programming in CUDA and how to take advantage of the hardware it runs on.

This is the next episode in what has become a series looking at the way that CUDA and the GPU work, and why they work this way. This session will focus on how to think about parallel programming on a massively-parallel GPU and why that might be different to what you're used to. If you've never even written a parallel algorithm then you'll learn all sorts of new things, but even if you're a ninja you'll walk away with some new tricks up your sleeve.