Emerging technology and architecture for big-data analytics

This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes eme...

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Další autoři: Chattopadhyay, Anupam, 1977- (Editor) 
Chang, Chip-Hong (Editor) 
Yu, Hao, 1976- (Editor) 
Korporace: SpringerLink (online služba) (Distributor) 
Médium: E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer, 2017
Žánr/forma:sborníky
elektronické knihy
ISBN:978-3-319-54840-1
978-3-319-54839-5
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Shrnutí:This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging technology and devices for data-analytics, circuit design for data-analytics, and architecture and algorithms to support data-analytics. Readers will benefit from the realistic context used by the authors, which demonstrates what works, what doesn’t work, and what are the fundamental problems, solutions, upcoming challenges and opportunities. Provides a single-source reference to hardware architectures for big-data analytics; Covers various levels of big-data analytics hardware design abstraction and flow, from device, to circuits and systems; Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware architecture for big-data analytics.
Fyzický popis:1 online zdroj (XI, 330 stran) : 162 ilustrací, 98 barevných ilustrací
Bibliografie:Obsahuje bibliografie