Opencl in action: how to accelerate graphics and computations, matthew scarpino
Описание
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.
What's Inside
Learn OpenCL step by step
Tons of annotated code
Tested algorithms for maximum performance
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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
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