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9780128014141 - Heterogeneous Computing with Opencl 2 0 by Kaeli, David R ; Mistry, Perhaad; Schaa, Dana; Zhang, Dong Ping (14 results)
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paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Heterogeneous Computing with OpenCL 2.0
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Heterogeneous Computing with OpenCL 2.0
Language: English
Published by Morgan Kaufmann 2015-05-26, 2015
ISBN 10: 0128014148 ISBN 13: 9780128014141
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Add to basketPaperback. Condition: Brand New. 3rd edition. 330 pages. 9.25x7.50x1.00 inches. In Stock.
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Condition: New. pp. 400.
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Condition: New. pp. 400.
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Heterogeneous Computing with OpenCL 2.0
Language: English
Published by Elsevier Science & Technology, 2015
ISBN 10: 0128014148 ISBN 13: 9780128014141
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Taschenbuch. Condition: Neu. Heterogeneous Computing with Opencl 2.0 | David R Kaeli (u. a.) | Taschenbuch | Englisch | 2015 | Elsevier Science | EAN 9780128014141 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Condition: new. Questo è un articolo print on demand.
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Heterogeneous Computing with Opencl 2.0
Language: English
Published by Elsevier Science Mai 2015, 2015
ISBN 10: 0128014148 ISBN 13: 9780128014141
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - Heterogeneous Computing with OpenCL 2.0 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). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: . Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources . Dynamic parallelism which reduces processor load and avoids bottlenecks . Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more 336 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Heterogeneous Computing with OpenCL 2.0 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.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Heterogeneous Computing with OpenCL 2.0 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). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: . Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources . Dynamic parallelism which reduces processor load and avoids bottlenecks . Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms.
