The Green Computing Book : Tackling Energy Efficiency at Large Scale
Language: English
Published by Taylor & Francis Ltd (Sales) Sep 2020, 2020
Series: Book 15 of 27 - Chapman & Hall/CRC Computational Science
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 87.70
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Add to basketItem description from seller
Neuware - State-of-the-Art Approaches to Advance the Large-Scale Green Computing MovementEdited by one of the founders and lead investigator of the Green500 list, The Green Computing Book: Tackling Energy Efficiency at Large Scale explores seminal research in large-scale green computing. It begins with low-level, hardware-based approaches and then traverses up the software stack with increasingly higher-level, software-based approaches.In the first chapter, the IBM Blue Gene team illustrates how to improve the energy efficiency of a supercomputer by an order of magnitude without any system performance loss in parallelizable applications. The next few chapters explain how to enhance the energy efficiency of a large-scale computing system via compiler-directed energy optimizations, an adaptive run-time system, and a general prediction performance framework. The book then explores the interactions between energy management and reliability and describes storage system organization that maximizes energy efficiency and reliability. It also addresses the need for coordinated power control across different layers and covers demand response policies in computing centers. The final chapter assesses the impact of servers on data center costs.…
Seller Inventory # 9780367659158
- Title
- The Green Computing Book : Tackling Energy Efficiency at Large Scale
- Author
- Wu-Chun Feng
- Publisher
- Taylor & Francis Ltd (Sales) Sep 2020
- Publication year
- 2020
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0367659158
- ISBN 13
- 9780367659158
- Item weight
- 499 grams
- Dimensions
- 234x156x19 mm
- Series
- Book 15 of 27: Chapman & Hall/CRC Computational Science
State-of-the-Art Approaches to Advance the Large-Scale Green Computing Movement
Edited by one of the founders and lead investigator of the Green500 list, The Green Computing Book: Tackling Energy Efficiency at Large Scale explores seminal research in large-scale green computing. It begins with low-level, hardware-based approaches and then traverses up the software stack with increasingly higher-level, software-based approaches.
In the first chapter, the IBM Blue Gene team illustrates how to improve the energy efficiency of a supercomputer by an order of magnitude without any system performance loss in parallelizable applications. The next few chapters explain how to enhance the energy efficiency of a large-scale computing system via compiler-directed energy optimizations, an adaptive run-time system, and a general prediction performance framework. The book then explores the interactions between energy management and reliability and describes storage system organization that maximizes energy efficiency and reliability. It also addresses the need for coordinated power control across different layers and covers demand response policies in computing centers. The final chapter assesses the impact of servers on data center costs.
"Synopsis" may belong to another edition of this title.
About the Author
Wu-chun Feng is a professor in the Department of Computer Science and Department of Electrical & Computer Engineering at Virginia Polytechnic Institute and State University, where he is the director of the Synergy Laboratory. He is also the principal investigator of mpiBlast and Supercomputing in Small Spaces, founder of MyVICE, and co-founder of the Green500 list. His research interests lie broadly at the synergistic intersection of computer architecture, systems software and middleware, and applications software.
"About the title" may belong to another edition of this title.
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