By Shane Cook
If you must examine CUDA yet wouldn't have event with parallel computing, CUDA Programming: A Developer's advent offers an in depth advisor to CUDA with a grounding in parallel basics. It begins by means of introducing CUDA and bringing you up to the mark on GPU parallelism and undefined, then delving into CUDA install. Chapters on middle strategies together with threads, blocks, grids, and reminiscence concentrate on either parallel and CUDA-specific concerns. Later, the publication 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 options illustrate operating with reminiscence, threads, algorithms, assets, and more
- Covers CUDA on a number of systems: Mac, Linux and home windows with numerous NVIDIA chipsets
- Each bankruptcy comprises workouts to check reader knowledge
Read or Download CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing) PDF
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CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing) by Shane Cook