Edité par Springer International Publishing AG, Cham, 2025
ISBN 10 : 3031740963 ISBN 13 : 9783031740961
Langue: anglais
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Ajouter au panierHardcover. Etat : new. Hardcover. This open access book presents the results of the DFG priority program on Scalable Data Management for Future Hardware. It details requirements and solutions of how modern and future hardware architectures can be leveraged to address the challenges in modern data management.The nine chapters of the book present a wide range of data management architectures in conjunction with current hardware developments, often related to applications in data analytics or machine learning. They cover topics such as hardware-accelerated query or event processing on FPGA, GPU, and multicore CPUs, scalable data management in data center networks or on modern memory and storage technologies, and operating system support.This book provides researchers in academia and industry with a comprehensive combination of data management, operating systems, distributed systems and computer architecture issues necessary to address the requirements from practice as well as to propel innovative ideas and challenging research questions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Ajouter au panierEtat : New.
Edité par Springer-Nature New York Inc, 2025
ISBN 10 : 3031740963 ISBN 13 : 9783031740961
Langue: anglais
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Ajouter au panierHardcover. Etat : Brand New. 261 pages. 9.25x6.10x9.28 inches. In Stock.
Edité par Springer Nature Switzerland, Springer International Publishing Jan 2025, 2025
ISBN 10 : 3031740963 ISBN 13 : 9783031740961
Langue: anglais
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Ajouter au panierBuch. Etat : Neu. Neuware -This open access book presents the results of the DFG priority program on Scalable Data Management for Future Hardware. It details requirements and solutions of how modern and future hardware architectures can be leveraged to address the challenges in modern data management.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch.
Edité par Springer Nature Switzerland, Springer Nature Switzerland, 2025
ISBN 10 : 3031740963 ISBN 13 : 9783031740961
Langue: anglais
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access book presents the results of the DFG priority program on Scalable Data Management for Future Hardware. It details requirements and solutions of how modern and future hardware architectures can be leveraged to address the challenges in modern data management.The nine chapters of the book present a wide range of data management architectures in conjunction with current hardware developments, often related to applications in data analytics or machine learning. They cover topics such as hardware-accelerated query or event processing on FPGA, GPU, and multicore CPUs, scalable data management in data center networks or on modern memory and storage technologies, and operating system support.This book provides researchers in academia and industry with a comprehensive combination of data management, operating systems, distributed systems and computer architecture issues necessary to address the requirements from practice as well as to propel innovative ideas and challenging research questions.
Edité par Springer, Berlin, Springer Nature Switzerland, TU Ilmenau, Springer, 2025
ISBN 10 : 3031740963 ISBN 13 : 9783031740961
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access book presents the results of the DFG priority program on Scalable Data Management for Future Hardware. It details requirements and solutions of how modern and future hardware architectures can be leveraged to address the challenges in modern data management.The nine chapters of the book present a wide range of data management architectures in conjunction with current hardware developments, often related to applications in data analytics or machine learning. They cover topics such as hardware-accelerated query or event processing on FPGA, GPU, and multicore CPUs, scalable data management in data center networks or on modern memory and storage technologies, and operating system support.This book provides researchers in academia and industry with a comprehensive combination of data management, operating systems, distributed systems and computer architecture issues necessary to address the requirements from practice as well as to propel innovative ideas and challenging research questions. 240 pp. Englisch.
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Ajouter au panierEtat : New. PRINT ON DEMAND.
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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Ajouter au panierBuch. Etat : Neu. Scalable Data Management for Future Hardware | Kai-Uwe Sattler (u. a.) | Buch | xxi | Englisch | 2025 | Springer | EAN 9783031740961 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.