The Green Computing Book: Tackling Energy Efficiency at Large Scale

Wu-chun Feng

June 16, 2014 by CRC Press
Reference - 353 Pages - 96 B/W Illustrations
ISBN 9781439819876 - CAT# K11047
Series: Chapman & Hall/CRC Computational Science


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  • Focuses on low-power, high-performance designs for large-scale computing systems and components, such as network on a chip
  • Offers innovative software alternatives to the internationally renowned Green Destiny supercomputer
  • Presents automated methods for power-performance adaptation in run-time systems
  • Proposes a new metric—the energy-reliability product—for simultaneously evaluating energy and reliability in storage systems
  • Discusses the critical areas of energy management and virtualization in cloud computing
  • Explains how to control power across the hardware, firmware, operating system, and application levels
  • Explores trends in server costs, energy use, and performance at high-density computing facilities


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.