000			01924cam a22002894i 4500
005			20260114232700.0
008			130606s2013 ne a g b 001 0 eng d
020			_a9789351071785 _c188.50 L. E
040			_aMPL _cMPL _erda
041	0		_aara
082	0	4	_a005.275 _221
100	1		_aCook, Shane
245	1	0	_aCUDA programming : a developer's guide to parallel computing with GPUs _cShane Cook
264		0	_aAmsterdam _aBoston _bElsevier, MK _c2013
300			_a576 pages _billustrations _c24 سم
336			_aنص
337			_aبدون وسيط
338			_aكتاب
504			_aIncludes bibliographical references and index
520			_a"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 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 knowledge." -- _cFrom publisher description
596			_a1
598			_aNEW, GENR_KNOWL
650		0	_aApplication software _xDevelopment
650		0	_aComputer architecture
650		0	_aParallel processing (Electronic computers)
650		0	_aParallel programming (Computer science)
999			_c7435 _d7435