2nd Revised edition. — Morgan Kaufmann, 2012. — 308 p. — ISBN10: 0124058949, ISBN13: 978-0124058941. "Heterogeneous Computing with OpenCL" teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work...
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, 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...
Packt Publishing, 2013. — 303 p. — ISBN10: 1849694524, ISBN13: ISBN: 978-1-84969-452-0. На англ. языке. OpenCL (Open Computing Language) is the first royalty-free standard for cross platform, parallel programming of modern processors found in personal computers, servers, mobiles, and embedded devices. OpenCL greatly improves speed and responsiveness for a wide spectrum of...
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