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CUDA Programming: A Developer’s Guide to Parallel Computing with GPUs

Shane Cook
CUDA Developer
Elsevier Science, Applications of GPU Computing Series, 2012
@book{cook2012cuda,

   title={CUDA Programming: A Developer’s Guide to Parallel Computing with GPUs},

   author={Cook, S.},

   isbn={9780124159334},

   series={Applications of GPU Computing Series},

   url={http://books.google.com.ua/books?id=g3EzsZn4poUC},

   year={2012},

   publisher={Elsevier Science}

}

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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.
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CUDA Programming: A Developer's Guide to Parallel Computing with GPUs, 3.2 out of 5 based on 12 ratings

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