000			01652nam a2200205 a 4500
020			_a978-9351071785
008			141026n 000 0 eng d
245	1	0	_aCUDA programming : _ba developer's guide to parrallel computing with GPUs / _cShane Cook.
260			_aAmsterdam : _bMorgan Kaufmann , _cc2013.
100			_aCook, Shane.
300			_axiv, 576 p. : _bill. ; _c24 cm.
520			_aIf 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 kitPractical 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.
650		7	_aParallel programming (Computer science). _2sears
650		7	_aParallel processing (Electronic computers). _2sears
490	1		_aApplications of GPU computing series
005			20170126100552.0
001			58685
003			UOWD
942			_cREGULAR
999			_c24990 _d24990