Heterogeneous Computing with OpenCL

Posted by Marwan Abd Ellah on Saturday, March 31, 2012 Under: Heterogeneous Computing

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.


  • 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.

In : Heterogeneous Computing 


Tags: "heterogeneous computing" api amd gpu gpgpu 
Marwan Abdellah's Page

Blog Archive

                                                          All Rights Reserved to Marwan Abdellah © 2009 - 2014