CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing)

CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing)

Shane Cook


If you want to research CUDA yet would not have event with parallel computing, CUDA Programming: A Developer's creation offers a close advisor to CUDA with a grounding in parallel basics. It begins by means of introducing CUDA and bringing you on top of things on GPU parallelism and undefined, then delving into CUDA install. Chapters on center thoughts together with threads, blocks, grids, and reminiscence specialise in either parallel and CUDA-specific concerns. Later, the booklet demonstrates CUDA in perform for optimizing functions, adjusting to new undefined, and fixing universal problems.

  • Comprehensive advent to parallel programming with CUDA, for readers new to both
  • Detailed directions support readers optimize the CUDA software program improvement kit
  • Practical suggestions illustrate operating with reminiscence, threads, algorithms, assets, and more
  • Covers CUDA on a number of systems: Mac, Linux and home windows with a number of NVIDIA chipsets
  • Each bankruptcy comprises workouts to check reader knowledge

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