
The Green Computing Book
Tackling Energy Efficiency at Large Scale
By: Wu-chun Feng (Editor)
Paperback | 30 September 2020
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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.
Industry Reviews
"... doubtless a very valuable addition to the literature on its topic ..."
-Shrisha Rao, Computing Reviews, August 24, 2015
ISBN: 9780367659158
ISBN-10: 0367659158
Series: Chapman & Hall/CRC Computational Science
Published: 30th September 2020
Format: Paperback
Language: English
Number of Pages: 353
Audience: General Adult
Publisher: Taylor & Francis Ltd
Country of Publication: GB
Dimensions (cm): 23.4 x 15.6
Weight (kg): 0.45
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