Idioma: Inglés
Publicado por Morgan Kaufmann (edition 3rd), 2015
ISBN 10: 0128014148 ISBN 13: 9780128014141
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 17,79
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Añadir al carritoPaperback. Condición: Very Good. 3rd. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Idioma: Inglés
Publicado por Morgan Kaufmann 2015-05-26, 2015
ISBN 10: 0128014148 ISBN 13: 9780128014141
Librería: Chiron Media, Wallingford, Reino Unido
EUR 60,26
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Añadir al carritoPaperback. Condición: New.
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Añadir al carritoCondición: New. pp. 400.
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Añadir al carritoPaperback. Condición: Brand New. 3rd edition. 330 pages. 9.25x7.50x1.00 inches. In Stock.
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 400.
Idioma: Inglés
Publicado por Elsevier Science & Technology, 2015
ISBN 10: 0128014148 ISBN 13: 9780128014141
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 75,12
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Añadir al carritoCondición: New. pp. 400.
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Añadir al carritoTaschenbuch. Condición: Neu. Heterogeneous Computing with Opencl 2.0 | David R Kaeli (u. a.) | Taschenbuch | Kartoniert / Broschiert | 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.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 59,11
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Elsevier Science Mai 2015, 2015
ISBN 10: 0128014148 ISBN 13: 9780128014141
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 150,00
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: 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. 336 pp. Englisch.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 156,09
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: 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.