Emerging Technology and Architecture for Big-data Analytics

Anupam Chattopadhyay

ISBN 10: 3319548395 / ISBN 13: 9783319548395

Verlag: Springer International Publishing, 2017

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783319548395

Bibliografische Details

Titel: Emerging Technology and Architecture for ...

Verlag: Springer International Publishing

Erscheinungsdatum: 2017

Einband: Buch

Zustand: Neu

Über diesen Titel

Inhaltsangabe:

<P>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.</P><DIV><P></P><UL><LI>PROVIDES A SINGLE-SOURCE REFERENCE TO HARDWARE ARCHITECTURES FOR BIG-DATA ANALYTICS;<BR></LI><LI>COVERS VARIOUS LEVELS OF BIG-DATA ANALYTICS HARDWARE DESIGN ABSTRACTION AND FLOW, FROM DEVICE, TO CIRCUITS AND SYSTEMS;<BR></LI><LI>DEMONSTRATES HOW NON-VOLATILE MEMORY (NVM) BASED HARDWARE PLATFORMS CAN BE A VIABLE SOLUTION TO EXISTING CHALLENGES IN HARDWARE ARCHITECTURE FOR BIG-DATA ANALYTICS.</LI></UL></DIV>

Reseña del editor:

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.