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E-grāmata: Green Computing Book: Tackling Energy Efficiency at Large Scale

Edited by (Virginia Tech, Blacksburg, USA)
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"Driven by the newly placed importance and growing search for ways to make computing greener and more efficient, this reference is the first research-level book devoted to green computing and large-scale energy efficiency. With contributions from leadingexperts in the field, the book presents current research and developments in hardware, systems software, run-time systems, programming languages, data center management, and applications. It also covers the emerging green movement in computing, includingthe Green Grid and the Green 500 list, as well as important programs in grassroots organizations and government agencies"--



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.

Recenzijas

"... doubtless a very valuable addition to the literature on its topic ..." Shrisha Rao, Computing Reviews, August 24, 2015

Preface, ix
Contributors, xvii
Chapter 1 Low-Power, Massively Parallel, Energy-Efficient Supercomputers 1(42)
IBM Blue Gene Team
Chapter 2 Compiler-Driven Energy Efficiency 43(44)
Mahmut Kanibmir
Shekhar Srikantaiah
Chapter 3 An Adaptive Run-Time System For Improving Energy Efficiency 87(28)
Chung-Hsing Hsu
Wu-Chun Feng
Stephen W. Poole
Chapter 4 Energy-Efficient Multithreading Through Run-Time Adaptation 115(34)
Matthew Curtis-Maury
Dimitrious S. Nikolopoulus
Chapter 5 Exploring Trade-Offs Between Energy Savings And Reliability In Storage Systems 149(34)
Ali R. Butt
Puranjoy Bhattacharjee
Guanying Wang
Chris Gniady
Chapter 6 Cross-Layer Power Management 183(48)
Zhikui Wang
Parthasarathy Ranganathan
Chapter 7 Energy-Efficient Virtualized Systems 231(36)
Ripal Nathuji
Karsten Schwan
Chapter 8 Demand Response For Computing Centers 267(30)
Jeffrey S. Chase
Chapter 9 Implications Of Recent Trends In Performance, Costs, And Energy Use For Servers 297(24)
Jonathan G. Koomey
Christian Belady
Michael Fatterson
Anthony Santos
Klaus-Dieter Lance
Index 321
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.