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Heterogeneous Computing with OpenCL 2.0 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: * Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources * Dynamic parallelism which reduces processor load and avoids bottlenecks * Improved imaging support and integration with OpenGL, a graphics standard * Pipe memory which can be optimized for specific scenarios * Improved integration with Android platforms 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. * Updated throughout to cover the latest developments in OpenCL 2.0 , including improvements in memory handling, parallelism, and imaging support * Explains principles and strategies to learn parallel programming with OpenCL, 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* 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
