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OpenCL in Action (How to accelerate graphics and computation)
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Product Details
Author:
Matthew Scarpino
Format:
Paperback
Pages:
456
Publisher:
Manning (November 20, 2011)
Language:
English
ISBN-13:
9781617290176
ISBN-10:
1617290173
Weight:
27.44oz
Dimensions:
7.38" x 9.25" x 0.9"
File:
Eloquence-SimonSchuster_05022026_P10038138_onix30_Complete-20260502.xml
Folder:
Eloquence
List Price:
$59.99
Case Pack:
15
As low as:
$53.99
Publisher Identifier:
P-SS
Discount Code:
G
Pub Discount:
37
Imprint:
Manning
Overview
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
***********
Table of Contents
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
- 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
- Reduction and sorting
- Matrices and QR decomposition
- Sparse matrices
- Signal processing and the fast Fourier transform
- Combining OpenCL and OpenGL
- Textures and renderbuffers
