OpenCL in Action: How to Accelerate Graphics and Computations (Paperback)
暫譯: OpenCL 實戰：加速圖形與計算的方法 (平裝本)

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.

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.

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.

• Learn OpenCL step by step
• Tons of annotated code
• Tested algorithms for maximum performance

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PART 1 FOUNDATIONS OF OPENCL PROGRAMMING

PART 2 CODING PRACTICAL ALGORITHMS IN OPENCL

PART 3 ACCELERATING OPENGL WITH OPENCL

1. Introducing OpenCL
2. Host programming: fundamental data structures
3. Host programming: data transfer and partitioning
4. Kernel programming: data types and device memory
5. Kernel programming: operators and functions
6. Image processing
7. Events, profiling, and synchronization
8. Development with C++
9. Development with Java and Python
10. General coding principles
11. Reduction and sorting
12. Matrices and QR decomposition
13. Sparse matrices
14. Signal processing and the fast Fourier transform
15. Combining OpenCL and OpenGL
16. Textures and renderbuffers