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Heterogeneous computing with OpenCL

Record Type:	Electronic resources : Monograph/item
Title/Author:	Heterogeneous computing with OpenCLBenedict Gaster ... [et al.].
other author:	Gaster, Benedict.
Published:	Waltham, MA :Morgan Kaufmann,c2012.
Description:	1 online resource (xvi, 277 p.) :ill.
Subject:	Parallel programming (Computer science)
Online resource:	http://www.sciencedirect.com/science/book/9780123877666
ISBN:	9780123877666 (electronic bk.)

Heterogeneous computing with OpenCL
Heterogeneous computing with OpenCL[electronic resource] /Benedict Gaster ... [et al.]. - Waltham, MA :Morgan Kaufmann,c2012. - 1 online resource (xvi, 277 p.) :ill.

Includes bibliographical references and index.

-- Introduction to Parallel Programming -- Introduction to OpenCL -- OpenCL Device Architectures -- Basic OpenCL Examples -- Understanding OpenCL's Concurrency and Execution Model -- Dissecting a CPU/GPU OpenCL Implementation -- OpenCL Case Study: Convolution -- OpenCL Case Study: Video Processing -- OpenCL Case Study: Histogram -- OpenCL Case Study: Mixed Particle Simulation -- OpenCL Extensions -- OpenCL Profiling and Debugging -- WebCL.

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.

ISBN: 9780123877666 (electronic bk.)

Standard No.: 9786613249913

Source: 1108809:11013891Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

215285
Parallel programming (Computer science)
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QA76.642 / .H48 2012

Dewey Class. No.: 005.2/752

Heterogeneous computing with OpenCL
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504 $a Includes bibliographical references and index.
505 0 $a -- Introduction to Parallel Programming -- Introduction to OpenCL -- OpenCL Device Architectures -- Basic OpenCL Examples -- Understanding OpenCL's Concurrency and Execution Model -- Dissecting a CPU/GPU OpenCL Implementation -- OpenCL Case Study: Convolution -- OpenCL Case Study: Video Processing -- OpenCL Case Study: Histogram -- OpenCL Case Study: Mixed Particle Simulation -- OpenCL Extensions -- OpenCL Profiling and Debugging -- WebCL.
505 0 $a Introduction to parallel programming -- Introduction to OpenCL -- OpenCL device architectures -- Basic OpenCL examples -- Understanding OpenCL's concurrency and execution model -- Dissecting an CPU/GPU OpenCL implementation -- OpenCL case study : convolution -- OpenCL case study : video processing -- OpenCL case study : histogram -- OpenCL case study : mixed particle simulation -- OpenCL extensions -- OpenCL profiling and debugging -- WebCL.
520 $a 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.
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