| Title | : | OpenCL in Action |
|---|---|---|
| Author | : | Matthew Scarpino |
| Release | : | 2011-11-13 |
| Kind | : | ebook |
| Genre | : | Programming, Books, Computers & Internet, Software |
| Size | : | 12131776 |
| Summary OpenCL in Action is a thorough, hands-on presentation of OpenCL, with an eye toward showing developers how to build high-performance applications of their own. It begins by presenting the core concepts behind OpenCL, including vector computing, parallel programming, and multi-threaded operations, and then guides you step-by-step from simple data structures to complex functions. About the Technology Whatever system you have, it probably has more raw processing power than you're using. OpenCL is a high-performance programming language that maximizes computational power by executing on CPUs, graphics processors, and other number-crunching devices. It's perfect for speed-sensitive tasks like vector computing, matrix operations, and graphics acceleration. About this Book OpenCL in Action blends the theory of parallel computing with the practical reality of building high-performance applications using OpenCL. It first guides you through the fundamental data structures in an intuitive manner. Then, it explains techniques for high-speed sorting, image processing, matrix operations, and fast Fourier transform. The book concludes with a deep look at the all-important subject of graphics acceleration. Numerous challenging examples give you different ways to experiment with working code. A background in C or C++ is helpful, but no prior exposure to OpenCL is needed. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside • Learn OpenCL step by step • Tons of annotated code • Tested algorithms for maximum performance *********** Table of Contents PART 1 FOUNDATIONS OF OPENCL PROGRAMMING • Introducing OpenCL • Host programming: fundamental data structures • Host programming: data transfer and partitioning • Kernel programming: data types and device memory • Kernel programming: operators and functions • Image processing • Events, profiling, and synchronization • Development with C++ • Development with Java and Python • General coding principles PART 2 CODING PRACTICAL ALGORITHMS IN OPENCL • Reduction and sorting • Matrices and QR decomposition • Sparse matrices • Signal processing and the fast Fourier transform PART 3 ACCELERATING OPENGL WITH OPENCL • Combining OpenCL and OpenGL • Textures and renderbuffers |
