By Benedict Gaster, Lee Howes, David R. Kaeli, Perhaad Mistry, Dana Schaa
Publisher: Elsevier / Morgan Kaufmann
Released: September 2011
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.
Readers will gain hands-on experience using OpenCL to address a range of fundamental programming models
Designed to teach parallel programming using OpenCL, with multiple examples that illustrate its power and elegance
Written by leaders in the parallel computing and OpenCL communities
Heterogeneous Computing with OpenCL
Benedict Gaster, Lee Howes, David R. Kaeli, Perhaad Mistry, Dana Schaa