Emerging Technology and Architecture for Big-data Analytics
Author | : Anupam Chattopadhyay |
Publisher | : Springer |
Total Pages | : 332 |
Release | : 2017-04-19 |
ISBN-10 | : 9783319548401 |
ISBN-13 | : 3319548409 |
Rating | : 4/5 (409 Downloads) |
Download or read book Emerging Technology and Architecture for Big-data Analytics written by Anupam Chattopadhyay and published by Springer. This book was released on 2017-04-19 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.