Heterogeneous Computing with OpenCL: Revised Opencl 1. 2 Edition (2)

By: and and and and

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Synopsis
Heterogeneous Computing with OpenCL teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs) such as AMD Fusion technology. Designed to work on multiple platforms and with wide industry support, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. The authors explore memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. Intended to support a parallel programming course, Heterogeneous Computing with OpenCL includes detailed examples throughout, plus additional online exercises and other supporting materials. - Explains principles and strategies to learn parallel programming with OpenCL, from understanding the four abstraction models to thoroughly testing and debugging complete applications. - Covers image processing, web plugins, particle simulations, video editing, performance optimization, and more. - Shows how OpenCL maps to an example target architecture and explains some of the tradeoffs associated with mapping to various architectures - Addresses a range of fundamental programming techniques, with multiple examples and case studies that demonstrate OpenCL extensions for a variety of hardware platforms
Copyright:
2011

Book Details

Book Quality:
Publisher Quality
Book Size:
296 Pages
ISBN-13:
9780123877673
Related ISBNs:
9780123877666
Publisher:
Morgan Kaufmann Publishers
Date of Addition:
Copyrighted By:
Elsevier Science & Technology
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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