CUDA Programming
Shane Cook · 2012 · 591 pages
As an Amazon Associate we earn from qualifying purchases. Some book links are affiliate links; you pay the same price and we may earn a small commission.
About this book
If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems. - Comprehensive introduction to parallel programming with CUDA, for readers new to both - Detailed instructions help readers optimize the CUDA software development kit - Practical techniques illustrate working with memory, threads, algorithms, resources, and more - Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets - Each chapter includes exercises to test reader knowledge
Appears in these reading paths
Learn CUDA: The Best GPU Programming Books, in Order
Related reading guides
Reader reviews
Ratings and notes from readers — tagged with how deep into the subject they were.
Loading reviews…