<i><p>Heterogeneous Computing with OpenCL 2.0 </i>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. This fully-revised edition includes the latest enhancements in OpenCL 2.0 including:</p><ul><li>Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources</li><li>Dynamic parallelism which reduces processor load and avoids bottlenecks </li><li>Improved imaging support and integration with OpenGL, a graphics standard </li><li>Pipe memory which can be optimized for specific scenarios </li><li>Improved integration with Android platforms </li></ul><p>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.</p><ul><li>Updated throughout to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support</li><li>Explains principles and strategies to learn parallel programming with OpenCL, from understanding the four abstraction models to thoroughly testing and debugging complete applications</li><li>Covers image processing, web plugins, particle simulations, video editing, performance optimization, and more</li><li>Presents multiple examples and case studies that demonstrate range of fundamental programming techniques on current system architectures using OpenCL as the target language alongside CPUs, GPUs and APUs</li></ul>