Heterogeneous Computing with OpenCL
By Benedict Gaster, Lee Howes, David R. Kaeli, Perhaad Mistry, Dana Schaa
Publisher: Elsevier / Morgan Kaufmann
Released: September 2011
Pages: 296

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 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, this book will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. The authors explore memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. Intended to support a parallel programming course, Heterogeneous Computing with OpenCL includes detailed examples throughout, plus additional online exercises and other supporting materials.



  • Readers will gain hands-on experience using OpenCL to address a range of fundamental programming models
  • Designed to teach parallel programming using OpenCL, with multiple examples that illustrate its power and elegance
  • Written by leaders in the parallel computing and OpenCL communities
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