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Beschreibung
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.
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Provides a single-source reference to hardware architectures for big-data analytics;
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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.
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | April 2017 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 682 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783319548395 |
| Auflage | 1st edition 2017 |
| Seiten | 330 |