An introduction to programming the GPU by the lead architect of CUDA for nVidia. CUDA’s unique in being a programming language designed and built hand-in-hand with the hardware that it runs on.
Stepping up from last year’s “How GPU Computing Works” deep dive into the architecture of the GPU, this video looks at how hardware design motivates the CUDA language and how the CUDA language motivates the hardware design. This is not a course on CUDA programming. It’s a foundation on what works, what doesn’t work, and why. It explores how to think about a problem in a way that will run well on the GPU, and you’ll see how the CUDA programming model is built to run that way.
If you’re new to CUDA, you will gain 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.
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