000			a
999			_c32278 _d32278
008			231101b xxu||||| |||| 00| 0 eng d
020			_a9781108479530
082			_a005.275 _bANS
100			_aAnsorge, Richard
245			_aProgramming in parallel with CUDA : a practical guide
260			_bCambridge University Press, _c2022 _aCambridge :
300			_axxi, 454 p. ; _bill., _c27 cm.
365			_b49.99 _cGBP _d107.60
504			_aIncludes bibliographical references and index.
520			_aCUDA is now the dominant language used for programming GPUs, one of the most exciting hardware developments of recent decades. With CUDA, you can use a desktop PC for work that would have previously required a large cluster of PCs or access to a HPC facility. As a result, CUDA is increasingly important in scientific and technical computing across the whole STEM community, from medical physics and financial modelling to big data applications and beyond. This unique book on CUDA draws on the author's passion for and long experience of developing and using computers to acquire and analyse scientific data. The result is an innovative text featuring a much richer set of examples than found in any other comparable book on GPU computing. Much attention has been paid to the C++ coding style, which is compact, elegant and efficient. A code base of examples and supporting material is available online, which readers can build on for their own projects.
650			_aParallel programming
650			_aCUDA
942			_2ddc _cBK