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Heterogeneous Computing with OpenCL

  • 1st Edition - August 17, 2011
  • Authors: Benedict Gaster, Lee Howes, David R. Kaeli, Perhaad Mistry, Dana Schaa
  • Language: English
  • eBook ISBN:
    9 7 8 - 0 - 1 2 - 3 8 7 7 6 7 - 3

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… Read more

Heterogeneous Computing with OpenCL

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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.