3rd Edition. — Morgan Kaufmann, 2017. — 552 p. — ISBN: 978-0-12-811986-0.
This book, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs.
Case studies demonstrate the development process, detailing computational thinking and ending with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in-depth. View more >
Key FeaturesTeaches computational thinking and problem-solving techniques that facilitate high-performance parallel computing
Utilizes CUDA version 7.5, NVIDIA's software development tool created specifically for massively parallel environments
Contains new and updated case studies
Includes coverage of newer libraries, such as CuDNN for Deep Learning
ReadershipAdvanced students, software engineers, programmers, hardware engineers
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