Scalable Data Management for Future Hardware

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Éditeur :

Springer


Paru le : 2025-01-23

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Description

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.
Pages
240 pages
Collection
n.c
Parution
2025-01-23
Marque
Springer
EAN papier
9783031740961
EAN PDF
9783031740978

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
11028 Ko
Prix
0,00 €
EAN EPUB
9783031740978

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
12278 Ko
Prix
0,00 €

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