Emerging Technology and Architecture for Big-data Analytics

Anupam Chattopadhyay (Curatore)

Chip Hong Chang (Curatore)

Springer International Publishing AG, 2017

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.

• Curatore: Anupam Chattopadhyay, Chip Hong Chang
• Editore: Springer International Publishing AG
• Anno: 2017
• Rilegatura: Hardback
• Pagine: 330 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783319548395

Testo in English