Heterogeneous Computing with OpenCL
Revised OpenCL 1.2 Edition
- Benedict Gaster, OpenCL Architect, AMD
- Lee Howes, Member of Technical Staff, AMD
- David Kaeli, Northeastern University, Boston, MA, USA
- Perhaad Mistry, Northeastern University, Boston, MA, USA
- Dana Schaa, Northeastern University, Boston, MA, USA
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.
Software engineers, programmers, hardware engineers, students / advanced students