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dc.contributor.authorCook, Shaneen_US
dc.date.accessioned2018-04-24T03:52:12Z
dc.date.available2018-04-24T03:52:12Z
dc.date.issued2012en_US
dc.identifier.isbn0124159338en_US
dc.identifier.isbn9780124159334en_US
dc.identifier.otherHPU5161369en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/30540
dc.description.abstractIf you need to learn CUDA but dont have experience with parallel computing, CUDA Programming: A Developers 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. Comprehensive introduction to parallel programming with CUDA, for readers new to both Detailed instructions help readers optimize the CUDA software development kit. Practical techniques illustrate working with memory, threads, algorithms, resources, and more. Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets. Each chapter includes exercises to test reader knowledgeen_US
dc.format.extent591 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherMorgan Kaufmann Publishersen_US
dc.subjectCUDA programmingen_US
dc.subjectProgrammingen_US
dc.subjectParallel computingen_US
dc.titleCUDA programming: A developer's guide to parallel computing with GPUsen_US
dc.typeBooken_US
dc.size16,967 KBen_US
dc.departmentTechnologyen_US


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