Description
Book SynopsisState-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
Trade Review
"... doubtless a very valuable addition to the literature on its topic ..."
—Shrisha Rao, Computing Reviews, August 24, 2015
Table of ContentsLow-Power, Massively Parallel, Energy-Efficient Supercomputers. Compiler-Driven Energy Efficiency. An Adaptive Run-Time System for Improving Energy Efficiency. Energy-Efficient Multithreading through Run-Time Adaptation. Exploring Trade-Offs between Energy Savings and Reliability in Storage Systems. Cross-Layer Power Management. Energy-Efficient Virtualized Systems. Demand Response for Computing Centers. Implications of Recent Trends in Performance, Costs, and Energy Use for Servers.
