FEATURED: Heterogeneous Computing with OpenCL
August 19, 2011
|Heterogeneous Computing with OpenCL by Benedict Gaster, Lee Howes, David R. Kaeli, Perhaad Mistry and Dana Schaa|
About the Book
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include different types of hardware: Central Processing Units (CPUs), Digital Signal Processors (DSPs), Graphic Processing Units (GPUs) and Accelerated Processing Units (APUs). 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 will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Detailed examples illustrate the power and elegance of OpenCL to handle image processing, web plugins, random number generation, video editing, and more. The authors explore multiple device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology.