8458

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}

}

Download Download (PDF)   View View   Source Source   

7714

views

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.
Rating: 1.6/5. From 12 votes.
Please wait...

* * *

* * *

HGPU group © 2010-2024 hgpu.org

All rights belong to the respective authors

Contact us: