000			01826cam a22002417a 4500
008			130606s2013 ne a b 001 0 eng d
020			_a9780124159334
020			_a0124159338
020			_a9789351071785
082	0	4	_a005.275 _bCOO
100	1		_aCook, Shane.
245	1	0	_aCUDA programming : _ba developer's guide to parallel computing with GPUs / _cShane Cook.
260			_aAmsterdam ; _aBoston : _bElsevier, MK, _cc2013. _cFrist printed in India,2014
300			_axiv, 576 p. : _bill. ; _c24 cm.
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." --
600			_aComputer science
650		0	_aApplication software _xDevelopment.
650		0	_aParallel programming (Computer science)
650		0	_aComputer architecture.
650		0	_aParallel processing (Electronic computers)
942			_cBK
999			_c62029 _d62029