[PDF.20ng] CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing)
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CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing)
Shane Cook
[PDF.th27] CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing)
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| #821335 in Books | Morgan Kaufmann | 2012-11-27 | 2012-11-13 | Original language:English | PDF # 1 | 9.25 x1.33 x7.50l,2.22 | File type: PDF | 600 pages | ||45 of 46 people found the following review helpful.| A nice book that I will add in my Parallel Programming Course teaching|By Alex|For me that I have read a lot about GPU Programming I regard it as a necessary companion to cover a lot of aspects that Rob Farber mentions briefly. This is for the initiated and aware people. No need to say more to these people. It will be a nice addition in their collection. For the people w|||"I must mention chapters 7, which deals with the practicalities of using the SDK, and 9, which offers advice and a detailed breakdown of areas that can limit the performance of a CUDA application. Together, these chapters transform this good book into the
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 dem...
You easily download any file type for your device.CUDA Programming: A Developer's Guide to Parallel Computing with GPUs (Applications of Gpu Computing) | Shane Cook. Just read it with an open mind because none of us really know.
