Packt Publishing, 2019. — 587 p. — ISBN: 978-1-78899-624-2. Explore different GPU programming methods using libraries and directives, such as OpenACC, with extension to languages such as C, C++, and Python Compute Unified Device Architecture (CUDA) is NVIDIA’s GPU computing platform and application programming interface. It’s designed to work with programming languages such as...
Addison-Wesley Professional, 2015. — 352 p. CUDA for Engineers gives you direct, hands-on engagement with personal, high-performance parallel computing, enabling you to do computations on a gaming-level PC that would have required a supercomputer just a few years ago. The authors introduce the essentials of CUDA C programming clearly and concisely, quickly guiding you from running...
Addison-Wesley Professional, 2017. — 320 p. — ISBN13: 978-0134694283. Scientists and technical professionals can use OpenACC to leverage the immense power of modern GPUs without the complexity traditionally associated with programming them. OpenACC for Programmers is one of the first comprehensive and practical overviews of OpenACC for massively parallel programming. This book...
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