Science
Programming Massively Parallel Processors
David B. Kirk, Wen-mei W. Hwu · 2010
Lindy Score
2,408·Proven
16 yrs
Age
1
Endorsers
Why it endured
The definitive guide to GPU programming with CUDA. Essential reading for anyone working on high-performance computing, machine learning infrastructure, or scientific simulation.
What they're saying
1 people recommend this book
Andrej KarpathyAI researcher & former Tesla AI Director
“I read this book and then I was surprised that I still understood so little of the kernels that started to appear as llm.c contributions, beating mine. It's a pretty good 101 intro. Learning CUDA is like that horse meme, all the learning resources you can find on the left, then… pic.twitter.com/C0k1WZqkQM”