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Design Technologies for Green and Sustainable Computing Systems

by Pande, Partha Pratim.
Authors: Ganguly, Amlan.%editor. | Chakrabarty, Krishnendu.%editor. | SpringerLink (Online service) Physical details: VIII, 239 p. 108 illus., 66 illus. in color. online resource. ISBN: 1461449758 Subject(s): Engineering. | Computer science. | Systems engineering. | Renewable energy sources. | Engineering. | Circuits and Systems. | Processor Architectures. | Renewable and Green Energy. | Energy Efficiency (incl. Buildings).
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E-Book E-Book AUM Main Library 621.3815 (Browse Shelf) Not for loan

Fundamental Limits on Run-time Power Management Algoriths for MPSoCs -- Reliable Networks-on-Chip Design for Sustainable Computing Systems -- Energy Adaptive Computing for a Sustainable ICT Ecosystem -- Implementing the Data Center Energy Productivity Metric in a High Performance Computing Data Center -- Sustainable Dynamic Application Hosting Across Geographically Distributed Data Centers -- Barely Alive Servers: Greener Datacenters through Memory-Accessible, Low-Power States -- Energy Storage System Design for Green-Energy Cyber Physical Systems -- Sensor Network Protocols for Greener Smart Environments -- Claremont -- A solar-powered Near-Threshold Voltage IA-32 Processor.

This book provides a comprehensive guide to the design of sustainable and green computing systems (GSC). Coverage includes important breakthroughs in various aspects of GSC, including multi-core architectures, interconnection technology, data centers, high-performance computing (HPC), and sensor networks. The authors address the challenges of power efficiency and sustainability in various contexts, including system design, computer architecture, programming languages, compilers and networking. ·         Offers readers a single-source reference for addressing the challenges of power efficiency and sustainability in embedded computing systems; ·         Provides in-depth coverage of the key underlying design technologies for green and sustainable computing; ·         Covers a wide range of topics, from chip-level design to architectures, computing systems, and networks.

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