CUDA / OpenCL

Addison-Wesley Professional, 2010. — 312 p. — ISBN-10: 0131387685, ISBN-13: 978-0131387683. Книга содержит описание технологии использования параллельных вычислений на основе простых и понятных примеров с пояснениями. Поясняются такие важные понятия как взаимодействие потоков, события, работа с различными типами памяти, потоки данных, взаимодействие с графической подсистемой. К...

Packt Publishing, 2013. — 304 p. — ISBN: 1849692343, ISBN13: 9781849692342 Learn about all of the OpenCL Architecture and major APIs. Learn OpenCL programming with simple examples from Image Processing, Pattern Recognition and - Statistics with detailed code explanation. Explore several aspects of optimization techniques, with code examples to guide you through the process....

Manning Publications, 2011. — 458 p. — ISBN: 9781617290176. OpenCL in Action is a thorough, hands-on presentation of OpenCL, with an eye toward showing developers how to build high-performance applications of their own. It begins by presenting the core concepts behind OpenCL, including vector computing, parallel programming, and multi-threaded operations, and then guides you...

Morgan Kaufmann, 2013. — 338 p. — ISBN: 9780124169708. Key Features Leverage the power of GPU computing with PGI’s CUDA Fortran compiler. Gain insights from members of the CUDA Fortran language development team. Includes multi-GPU programming in CUDA Fortran, covering both peer-to-peer and message passing interface (MPI) approaches. Includes full source code for all the...

Packt Publishing, 2019. — 587 p. — ISBN: 978-1-78899-624-2. Code files only! 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...