Häftad, Engelska, 2018
Emerging Technology and Architecture for Big-data Analytics
Av Anupam Chattopadhyay, Chip Hong Chang, Hao Yu
1663 kr
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Beskrivning
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.
Produktinformation
- Utgivningsdatum: 2018-07-25
- Mått: 155 x 235 x 19 mm
- Vikt: 522 g
- Format: Häftad
- Språk: Engelska
- Antal sidor: 330
- Förlag: Springer International Publishing AG
- ISBN: 9783319854977
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