The green computing book : tackling energy efficiency at large scale / edited by Wu-chun Feng.

Contributor(s): Feng, Wu-chun Material type: Text

TextLanguage: English Series: Chapman & Hall/CRC computational science ; 21Publication details: Boca Raton : CRC Press, Taylor & Francis Group, 2014. Description: xviii, 337 p. : ill. ; 24 cmISBN: 9781439819876Subject(s): Information technology -- Environmental aspects | Information technology -- Energy consumption | COMPUTERS / GeneralDDC classification: 628 Online resources: WorldCat Details

Contents:

Table of contents Low-power, massively parallel, energy-efficient supercomputers / IBM Blue Gene Team Compiler-driven energy efficiency / Mahmut Kandemir and Shekhar Srikantaiah An adaptive run-time system for improving energy efficiency / Chung-Hsing Hsu, Wu-chun Feng, and Stephen W. Poole Energy-efficient multithreading through run-time adaptation / Matthew Curtis-Maury and Dimitrious S. Nikolopoulus Exploring trade-offs between energy savings and reliability in storage systems / Ali R. Butt, Puranjoy Bhattacharjee, Guanying Wang, and Chris Gniady Cross-layer power management / Zhikui Wang and Parthasarathy Ranganathan Energy-efficient virtualized systems / Ripal Nathuji and Karsten Schwan Demand response for computing centers / Jeffrey S. Chase Implications of recent trends in performance, costs, and energy use for servers / Jonathan G. Koomey, Christian Belady, Michael Patterson, Anthony Santos, and Klaus-Dieter Lange

Summary: "Driven by the newly placed importance and growing search for ways to make computing greener and more efficient, this reference is the first research-level book devoted to green computing and large-scale energy efficiency. With contributions from leading experts in the field, the book presents current research and developments in hardware, systems software, run-time systems, programming languages, data center management, and applications. It also covers the emerging green movement in computing, including the Green Grid and the Green 500 list, as well as important programs in grassroots organizations and government agencies"--

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode	Item holds
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	628 GRE 2014 (Browse shelf(Opens below))	C-1	Not For Loan		31616
Text	Dr. S. R. Lasker Library, EWU Circulation Section	Non-fiction	628 GRE 2014 (Browse shelf(Opens below))	C-2	Available		31617

Total holds: 0

Includes bibliographical references and index.

Table of contents Low-power, massively parallel, energy-efficient supercomputers / IBM Blue Gene Team
Compiler-driven energy efficiency / Mahmut Kandemir and Shekhar Srikantaiah
An adaptive run-time system for improving energy efficiency / Chung-Hsing Hsu, Wu-chun Feng, and Stephen W. Poole
Energy-efficient multithreading through run-time adaptation / Matthew Curtis-Maury and Dimitrious S. Nikolopoulus
Exploring trade-offs between energy savings and reliability in storage systems / Ali R. Butt, Puranjoy Bhattacharjee, Guanying Wang, and Chris Gniady
Cross-layer power management / Zhikui Wang and Parthasarathy Ranganathan
Energy-efficient virtualized systems / Ripal Nathuji and Karsten Schwan
Demand response for computing centers / Jeffrey S. Chase
Implications of recent trends in performance, costs, and energy use for servers / Jonathan G. Koomey, Christian Belady, Michael Patterson, Anthony Santos, and Klaus-Dieter Lange

"Driven by the newly placed importance and growing search for ways to make computing greener and more efficient, this reference is the first research-level book devoted to green computing and large-scale energy efficiency. With contributions from leading experts in the field, the book presents current research and developments in hardware, systems software, run-time systems, programming languages, data center management, and applications. It also covers the emerging green movement in computing, including the Green Grid and the Green 500 list, as well as important programs in grassroots organizations and government agencies"--

Computer Science & Engineering Computer Science & Engineering

Sagar Shahanawaz

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