Heterogeneous Computing with OpenCL

August 19, 2011  SteveH

Heterogeneous Computing with OpenCL by Benedict Gaster, Lee Howes, David R. Kaeli, Perhaad Mistry and Dana Schaa just published!

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.

Key Features

• Explains principles and strategies to learn parallel programming with OpenCL, from understanding the four abstraction models to thoroughly testing and debugging complete applications.
• Covers image processing, web plugins, particle simulations, video editing, performance optimization, and more.
• Shows how OpenCL maps to an example target architecture and explains some of the tradeoffs associated with mapping to various architectures
• Addresses a range of fundamental programming techniques, with multiple examples and case studies that demonstrate OpenCL extensions for a variety of hardware platforms.

Who Should Read This Book

Software engineers, programmers, hardware engineers, students/advanced students

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