This best-selling guide to CUDA and GPU parallel programming has been revised with more parallel programming examples, commonly-used libraries, and explanations of the latest tools. With these improvements, the book retains its concise, intuitive, practical approach based on years of road-testing in the authors' own parallel computing courses.
Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs.
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- © Morgan Kaufmann 2013
- 14th December 2012
- Morgan Kaufmann
- eBook ISBN:
- Paperback ISBN:
Intel Recommended Reading List for Developers, 1st Half 2013 – Books for Software Developers, Intel Intel Recommended Reading List for Developers, 2nd Half 2013 – Books for Software Developers, Intel Intel Recommended Reading List for Developers, 1st Half 2014 – Books for Software Developers, Intel