Emerging Technology and Architecture for Big-data Analytics  [electronic resource] / 

 - 1st ed. 2017. 
 - XI, 330 p. 162 illus., 98 illus. in color.  | Binding - Card Paper | 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783319548401 
<br/><br/><label>Subjects--Topical Terms: </label><br/>EXTC Engineering
<br/><br/><label>Subjects--Index Terms: </label>Processor Architectures. Electronic Circuits and Devices. Big Data/Analytics. 
<br/><br/><label>Dewey Class. No.: </label>621.3815