| 书目名称 | Emerging Technology and Architecture for Big-data Analytics | | 编辑 | Anupam Chattopadhyay,Chip Hong Chang,Hao Yu | | 视频video | | | 概述 | 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 syste | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Book 2017 | | 关键词 | Big Data Analytics; Real-Time Big Data Analytics; next-generation data analytics; exascale computing; no | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-54840-1 | | isbn_softcover | 978-3-319-85497-7 | | isbn_ebook | 978-3-319-54840-1 | | copyright | Springer International Publishing AG 2017 |
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发表于 2025-3-21 17:16:13
