Heterogeneous Computing with OpenCL
Elsevier, Sep 30, 2011 - Computers - 296 pages
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.
What people are saying - Write a review
LibraryThing ReviewUser Review - jcopenha - LibraryThing
Not a recommended book for learning about GPGPU. Even though the Programming Massively Parallel Computers book was focused on CUDA it still gave a much better explanation of what is going on and how ... Read full review
Enjoyable and informative
Another good book to get you started with concurrency. A must read for GPU shader writers (glsl and direct X) to understand what is happening underneath