"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 architecturesAddresses a range
of fundamental programming techniques, with multiple examples and
case studies that demonstrate OpenCL extensions for a variety of
hardware platforms
General
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