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Emerging Technology and Architecture for Big-Data Analytics (Softcover Reprint of the Original 1st 2017)

Contributor(s): Chattopadhyay, Anupam (Editor), Chang, Chip Hong (Editor), Yu, Hao (Editor)

ISBN: 9783319854977

Publisher: Springer

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Pub Date: July 25, 2018

Dewey: 004.1

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.72" H x 9.21" L x 6.14" W ( 1.06 lbs) 330 pages

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Description:

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.

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