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  • 1
    UID:
    b3kat_BV050151095
    Umfang: 1 Online-Ressource
    ISBN: 9783031740978
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-3-031-74096-1
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-3-031-74099-2
    Sprache: Englisch
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    Mehr zum Autor: Kemper, Alfons 1958-
    Mehr zum Autor: Sattler, Kai-Uwe 1968-
    Mehr zum Autor: Neumann, Thomas 1977-
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    UID:
    almahu_9949948800902882
    Umfang: XXI, 240 p. 96 illus., 87 illus. in color. , online resource.
    Ausgabe: 1st ed. 2025.
    ISBN: 9783031740978
    Inhalt: 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.
    Anmerkung: 1. ADAMANT: Hardware-Accelerated Query Processing Made Easy -- 2. Query Processing on Heterogeneous Hardware -- 3. Efficient Event Processing on Modern Hardware -- 4. Hybrid Transactional/Analytical Graph Processing in Modern Memory Hierarchies -- 5. MxKernel: A Bare-Metal Runtime System for Database Operations on Heterogeneous Many-Core Hardware -- 6. Scaling beyond DRAM without Compromising Performance -- 7. ReProVide: Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis -- 8. Scalable Data Management on Next-Generation Data Center Networks -- 9. Managing Very Large Data Sets on Directly-Attached NVMe Arrays.
    In: Springer Nature eBook
    Weitere Ausg.: Printed edition: ISBN 9783031740961
    Weitere Ausg.: Printed edition: ISBN 9783031740985
    Weitere Ausg.: Printed edition: ISBN 9783031740992
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    UID:
    kobvindex_HPB1492209471
    Umfang: 1 online resource
    ISBN: 9783031740978 , 3031740971
    Inhalt: 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.
    Anmerkung: 1. ADAMANT: Hardware-Accelerated Query Processing Made Easy -- 2. Query Processing on Heterogeneous Hardware -- 3. Efficient Event Processing on Modern Hardware -- 4. Hybrid Transactional/Analytical Graph Processing in Modern Memory Hierarchies -- 5. MxKernel: A Bare-Metal Runtime System for Database Operations on Heterogeneous Many-Core Hardware -- 6. Scaling beyond DRAM without Compromising Performance -- 7. ReProVide: Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis -- 8. Scalable Data Management on Next-Generation Data Center Networks -- 9. Managing Very Large Data Sets on Directly-Attached NVMe Arrays.
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 4
    UID:
    kobvindex_HPB1493770651
    Umfang: 1 online resource (xxi, 240 pages) : , illustrations (chiefly color)
    ISBN: 9783031740978 , 3031740971
    Inhalt: 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.
    Anmerkung: 1. ADAMANT: Hardware-Accelerated Query Processing Made Easy -- 2. Query Processing on Heterogeneous Hardware -- 3. Efficient Event Processing on Modern Hardware -- 4. Hybrid Transactional/Analytical Graph Processing in Modern Memory Hierarchies -- 5. MxKernel: A Bare-Metal Runtime System for Database Operations on Heterogeneous Many-Core Hardware -- 6. Scaling beyond DRAM without Compromising Performance -- 7. ReProVide: Query Optimisation and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis -- 8. Scalable Data Management on Next-Generation Data Center Networks -- 9. Managing Very Large Data Sets on Directly-Attached NVMe Arrays.
    Weitere Ausg.: ISBN 3031740963
    Weitere Ausg.: ISBN 9783031740961
    Weitere Ausg.: ISBN 9783031740961
    Weitere Ausg.: ISBN 3031740963
    Sprache: Englisch
    Schlagwort(e): Electronic books.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 5
    UID:
    almahu_9949982392402882
    Umfang: 1 online resource (297 pages)
    Ausgabe: 1st ed.
    ISBN: 9783031740978
    Weitere Ausg.: Print version: Sattler, Kai-Uwe Scalable Data Management for Future Hardware Cham : Springer,c2025 ISBN 9783031740961
    Sprache: Englisch
    Schlagwort(e): Electronic books.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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