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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.
Learn OpenCL step by step
Tons of annotated code
Tested algorithms for maximum performance
Table of Contents
PART 1 FOUNDATIONS OF OPENCL PROGRAMMING
Host programming: fundamental data structures
Host programming: data transfer and partitioning
Kernel programming: data types and device memory
Kernel programming: operators and functions
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
Signal processing and the fast Fourier transform
PART 3 ACCELERATING OPENGL WITH OPENCL
Combining OpenCL and OpenGL
Textures and renderbuffers