The Green Computing Book : Tackling Energy Efficiency at Large Scale

Language: English

Published by Taylor & Francis Ltd (Sales) Sep 2020, 2020

0367659158 / 9780367659158

Series: Book 15 of 27 - Chapman & Hall/CRC Computational Science

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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Item5 to 7 business days7 to 10 business days
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