| Management number | 233378414 | Release Date | 2026/06/27 | List Price | US$44.36 | Model Number | 233378414 | ||
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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. Read more
| ASIN | B06ZZ5B2T7 |
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| XRay | Not Enabled |
| ISBN13 | 978-3319548401 |
| Edition | 1st ed. 2017 |
| Language | English |
| File size | 13.7 MB |
| Page Flip | Enabled |
| Publisher | Springer |
| Word Wise | Not Enabled |
| Print length | 564 pages |
| Accessibility | Learn more |
| Screen Reader | Supported |
| Publication date | April 19, 2017 |
| Enhanced typesetting | Enabled |
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