大葉大學圖書館 |

Heterogeneous computing with OpenCL[electronic resource] /

レコード種別:	言語・文字資料 (印刷物) : 単行資料
[NT 15000414] null:	005.2/752
タイトル / 著者:	Heterogeneous computing with OpenCL/ Benedict Gaster ... [et al.].
その他の著者:	Gaster, Benedict.
出版された:	Waltham, MA : : Morgan Kaufmann,, c2012.
記述:	1 online resource (xvi, 277 p.) : : ill.
主題:	Parallel programming (Computer science)
主題:	OpenCL (Computer program language)
主題:	Computer program language.
主題:	Computer programming.
主題:	Computer science.
主題:	COMPUTERS / Programming / Parallel
国際標準図書番号 (ISBN) :	9780123877666 (electronic bk.)
国際標準図書番号 (ISBN) :	0123877660 (electronic bk.)
国際標準図書番号 (ISBN) :	9780123877673 (electronic bk.)
国際標準図書番号 (ISBN) :	0123877679 (electronic bk.)
[NT 15000227] null:	Includes bibliographical references and index.
[NT 15000228] null:	-- 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.
[NT 15000229] null:	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.
電子資源:	http://www.sciencedirect.com/science/book/9780123877666

Heterogeneous computing with OpenCL[electronic resource] /
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:

387086
Parallel programming (Computer science)
Index Terms--Genre/Form:

336502
Electronic books.

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

Dewey Class. No.: 005.2/752

Heterogeneous computing with OpenCL[electronic resource] /
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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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