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Anotace knihy

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.

Parametry knihy

• Plný název: Emerging Technology and Architecture for Big-data Analytics
• Autor: Chip Hong Chang, Anupam Chattopadhyay, Hao Yu
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 330
• EAN: 9783319854977
• ID: 20119487
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 5212 g
• Rozměry: 235 × 155 × 19 mm
• Datum vydání: 25. July 2018

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