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GPU Parallel Program Development Using CUDA

af Tolga (University at Albany Soyata

indgår i Chapman & Hall/CRC Computational Science serien

GPU Parallel Program Development Using CUDA af Tolga (University at Albany Soyata
Bag om GPU Parallel Program Development Using CUDA

This book teaches GPU programming by introducing CPU multi-threaded programming and bases GPU massively-parallel programming on this foundation. The differences among families of GPUs are also studied. The book also explores CUDA libraries, OpenCL, GPU programming with other languages and API libraries, and the deep learning library cuDNN.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781498750752
  • Indbinding:
  • Hardback
  • Sideantal:
  • 476
  • Udgivet:
  • 16. februar 2018
  • Størrelse:
  • 184x258x29 mm.
  • Vægt:
  • 1032 g.
  • Ukendt - mangler pt..

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This book teaches GPU programming by introducing CPU multi-threaded programming and bases GPU massively-parallel programming on this foundation. The differences among families of GPUs are also studied. The book also explores CUDA libraries, OpenCL, GPU programming with other languages and API libraries, and the deep learning library cuDNN.

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