Emerging Technology and Architecture for Big-data Analytics
Produktnummer:
18aabe1e4e7ddf4d5e935f68547e37c4fe
| Themengebiete: | Big Data Analytics Real-Time Big Data Analytics exascale computing next-generation data analytics non-volatile memory based hardware |
|---|---|
| Veröffentlichungsdatum: | 27.04.2017 |
| EAN: | 9783319548395 |
| Sprache: | Englisch |
| Seitenzahl: | 330 |
| Produktart: | Gebunden |
| Herausgeber: | Chang, Chip Hong Chattopadhyay, Anupam Yu, Hao |
| Verlag: | Springer International Publishing |
Produktinformationen "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 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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