Heterogeneous Computing with Open CL, Second Edition 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. It is the first textbook that presents Open CL programming appropriate for the classroom and is intended to support a parallel programming course. Students will come away from this text with hands-on experience and significant knowledge of the syntax and use of Open CL to address a range of fundamental parallel algorithms. 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, Heterogeneous Computing with Open CL explores memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. It includes detailed examples throughout, plus additional online exercises and other supporting materials that can be downloaded at http://www.heterogeneouscompute.org/?page_id=7This book will appeal to software engineers, programmers, hardware engineers, and students/advanced students. – 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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