Emerging Technology and Architecture for Big-Data Analytics - Hardback
Springer
ISBN13:
9783319548395
$179.29
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.
- | Author: Anupam Chattopadhyay
- | Publisher: Springer
- | Publication Date: Apr 27, 2017
- | Number of Pages: 330 pages
- | Binding: Hardback or Cased Book
- | ISBN-10: 3319548395
- | ISBN-13: 9783319548395
- Author:
- Anupam Chattopadhyay
- Publisher:
- Springer
- Publication Date:
- Apr 27, 2017
- Number of pages:
- 330 pages
- Binding:
- Hardback or Cased Book
- ISBN-10:
- 3319548395
- ISBN-13:
- 9783319548395