Heterogeneous Computing with OpenCL

Heterogeneous Computing with OpenCL
Author :
Publisher : Newnes
Total Pages : 309
Release :
ISBN-10 : 9780124058941
ISBN-13 : 0124058949
Rating : 4/5 (949 Downloads)

Book Synopsis Heterogeneous Computing with OpenCL by : Benedict Gaster

Download or read book Heterogeneous Computing with OpenCL written by Benedict Gaster and published by Newnes. This book was released on 2012-11-13 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Heterogeneous Computing with OpenCL, Second Edition 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. It is the first textbook that presents OpenCL programming appropriate for the classroom and is intended to support a parallel programming course. Students will come away from this text with hands-on experience and significant knowledge of the syntax and use of OpenCL to address a range of fundamental parallel algorithms. 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, Heterogeneous Computing with OpenCL explores memory spaces, optimization techniques, graphics interoperability, extensions, and debugging and profiling. It includes detailed examples throughout, plus additional online exercises and other supporting materials that can be downloaded at http://www.heterogeneouscompute.org/?page_id=7 This book will appeal to software engineers, programmers, hardware engineers, and students/advanced students. 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


Heterogeneous Computing with OpenCL Related Books

Heterogeneous Computing with OpenCL
Language: en
Pages: 309
Authors: Benedict Gaster
Categories: Computers
Type: BOOK - Published: 2012-11-13 - Publisher: Newnes

GET EBOOK

Heterogeneous Computing with OpenCL, Second Edition teaches OpenCL and parallel programming for complex systems that may include a variety of device architectur
Heterogeneous Computing with OpenCL 2.0
Language: en
Pages: 330
Authors: David R. Kaeli
Categories: Computers
Type: BOOK - Published: 2015-06-18 - Publisher: Morgan Kaufmann

GET EBOOK

Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-co
OpenCL Programming Guide
Language: en
Pages: 649
Authors: Aaftab Munshi
Categories: Computers
Type: BOOK - Published: 2011-07-07 - Publisher: Pearson Education

GET EBOOK

Using the new OpenCL (Open Computing Language) standard, you can write applications that access all available programming resources: CPUs, GPUs, and other proce
Programming Massively Parallel Processors
Language: en
Pages: 519
Authors: David B. Kirk
Categories: Computers
Type: BOOK - Published: 2012-12-31 - Publisher: Newnes

GET EBOOK

Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detai
OpenCL Programming by Example
Language: en
Pages: 437
Authors: Ravishekhar Banger
Categories: Computers
Type: BOOK - Published: 2013-12-23 - Publisher: Packt Publishing Ltd

GET EBOOK

This book follows an example-driven, simplified, and practical approach to using OpenCL for general purpose GPU programming. If you are a beginner in parallel p