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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| Médium: | E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer,
2017
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| Žánr/forma: | sborníky elektronické knihy |
| ISBN: | 978-3-319-54840-1 978-3-319-54839-5 |
| Témata: | |
| On-line přístup: | Plný text |
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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. |
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| Fyzický popis: | 1 online zdroj (XI, 330 stran) : 162 ilustrací, 98 barevných ilustrací |
| Bibliografie: | Obsahuje bibliografie |