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商品詳細
Emerging Technology and Architecture for Big-data Analytics. Softcover Reprint of the Original 1st 2017 ed.
・ISBN 978-3-319-85497-7 paper EUR 149.99
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| 著者・編者 | Chattopadhyay, Anupam / Chang, Chip Hong / Yu, Hao (eds.), |
|---|---|
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2018 |
| ページ数 | 330 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-18881＞ |
解説
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.