Come for an introduction to GPU computing by the lead architect of CUDA. We'll walk through the internals of how the GPU works and why CUDA is the way that it is, and connect the dots between physical hardware and parallel computing. This is not an introduction to CUDA, this is the story of how it all fits together. It'll explain how the GPU runs code, and how that affects the algorithms that people write, and what's fast and what's slow.
If you're new to GPU computing this talk will equip you with the core background knowledge you need - getting started begins with understanding. If you're an expert, hopefully you'll face your next optimization problem with a new perspective on what might work and why.