Using the new Open CL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other processors such as DSPs and the Cell/B.E. processor. Already implemented by Apple, AMD, Intel, IBM, NVIDIA, and other leaders, Open CL has outstanding potential for PCs, servers, handheld/embedded devices, high performance computing, and even cloud systems. This is the first comprehensive, authoritative, and practical guide to Open CL 1.1 specifically for working developers and software architects. Written by five leading Open CL authorities, Open CL Programming Guide covers the entire specification. It reviews key use cases, shows how Open CL can express a wide range of parallel algorithms, and offers complete reference material on both the API and Open CL C programming language. Through complete case studies and downloadable code examples, the authors show how to write complex parallel programs that decompose workloads across many different devices. They also present all the essentials of Open CL software performance optimization, including probing and adapting to hardware. Coverage includes Understanding Open CL’s architecture, concepts, terminology, goals, and rationale Programming with Open CL C and the runtime API Using buffers, sub-buffers, images, samplers, and events Sharing and synchronizing data with Open GL and Microsoft’s Direct3D Simplifying development with the C++ Wrapper API Using Open CL Embedded Profiles to support devices ranging from cellphones to supercomputer nodes Case studies dealing with physics simulation; image and signal processing, such as image histograms, edge detection filters, Fast Fourier Transforms, and optical flow; math libraries, such as matrix multiplication and high-performance sparse matrix multiplication; and more Source code for this book is available at https://code.google.com/p/opencl-book-samples/
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