November 2018
Intermediate to advanced
310 pages
7h 54m
English
Content preview from Hands-On GPU Programming with Python and CUDA
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Preface
Greetings and salutations! This text is an introductory guide to GPU programming with Python and CUDA. GPU may stand for Graphics Programming Unit, but we should be clear that this book is not about graphics programming—it is essentially an introduction to General-Purpose GPU Programming, or GPGPU Programming for short. Over the last decade, it has become clear that GPUs are well suited for computations besides rendering graphics, particularly for parallel computations that require a great deal of computational throughput. To this end, NVIDIA released the CUDA Toolkit, which has made the world of GPGPU programming all the more accessible to just about anyone with some C programming knowledge.
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