| Title | : | Emerging Technology and Architecture for Big-data Analytics |
|---|---|---|
| Author | : | Anupam Chattopadhyay, Chip Hong Chang & Hao Yu |
| Release | : | 2017-04-19 |
| Kind | : | ebook |
| Genre | : | Electrical Engineering, Books, Professional & Technical, Engineering, Computers & Internet, Computers, Databases, Science & Nature, Mathematics |
| Size | : | 8343415 |
| 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. |
