Heterogeneous Computing with Open CL teaches Open CL 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, Open CL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and Open CL communities, this book will give you hands-on Open CL 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 Open CL includes detailed examples throughout, plus additional online exercises and other supporting materials. – Explains principles and strategies to learn parallel programming with Open CL, 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 Open CL maps to an example target architecture and explains some of the tradeoffs associated with mapping to various architectures- Addresses a range of fundamental programming techniques, with multiple examples and case studies that demonstrate Open CL extensions for a variety of hardware platforms
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