Emerging Technology and Architecture for Big-data Analytics
Nonfiction, Science & Nature, Technology, Electronics, Circuits, Computers, Advanced Computing, Engineering, Computer Architecture
| Author: | ISBN: | 9783319548401 | |
| Publisher: | Springer International Publishing | Publication: | April 19, 2017 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9783319548401 |
| Publisher: | Springer International Publishing |
| Publication: | April 19, 2017 |
| Imprint: | Springer |
| Language: | English |
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;
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Demonstrates how non-volatile memory (NVM) based hardware platforms can be a viable solution to existing challenges in hardware 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.
