EAN: | 9783319548395 |
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Auflage: | 001 |
Sachgruppe: | Technik |
Sprache: | Englisch |
Seitenzahl: | 344 |
Produktart: | Gebunden |
Herausgeber: | Chang, Chip Hong Chattopadhyay, Anupam Yu, Hao |
Veröffentlichungsdatum: | 27.04.2017 |
Schlagworte: | Prozesstechnik |
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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.