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Heterogeneous Computing with OpenCL
Revised OpenCL 1.2 Edition
Learn parallel programming with CPUs, GPUs, and APUs, from OpenCL community leaders
Benedict Gaster (Author), Lee Howes (Author), David R. Kaeli (Author), Perhaad Mistry (Author), Dana Schaa (Author)
9780124058941, Elsevier Science
Paperback, published 31 December 2012
308 pages
23.4 x 19 x 2 cm, 0.61 kg
"With parallel computing now in the mainstream, this book provides an excellent reference on the state-of-the-art techniques in accelerating applications on CPU-GPU systems." --David A. Bader, Georgia Institute of Technology "Intended for software architects and engineers, this guide to OpenCL examines potential uses and practical application of the cross platform programming language for heterogeneous computing. The work explores the use of OpenCL to design and produce scalable applications that have the ability to be optimized for processor core and GPU usage. Chapters cover an overview of OpenCL, basic examples, CPU/GPU implementation and extensions. Illustrations and sample code, as well as sections outlining case studies for the use of OpenCL in several common situations, are provided." --SciTech Book News "I always enjoy reviewing later editions of a book…this book does not disappoint. It is definitely worth the time spent reading it." --ComputingReviews.com, 2013
Heterogeneous Computing with OpenCL, Second Edition 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. It is the first textbook that presents OpenCL programming appropriate for the classroom and is intended to support a parallel programming course. Students will come away from this text with hands-on experience and significant knowledge of the syntax and use of OpenCL to address a range of fundamental parallel algorithms. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, Heterogeneous Computing with OpenCL explores memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. It includes detailed examples throughout, plus additional online exercises and other supporting materials that can be downloaded at http://www.heterogeneouscompute.org/?page_id=7 This book will appeal to software engineers, programmers, hardware engineers, and students/advanced students.
Subject Areas: Computer architecture & logic design [UYF], Software Engineering [UMZ]
