High-performance, power-aware distributed computing for scientific applications

The PowerPack framework enables distributed systems to profile, analyze, and conserve energy in scientific applications using dynamic voltage scaling. For one common benchmark, the framework achieves more than 30 percent energy savings with minimal performance impact.

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Bibliographische Detailangaben
Veröffentlicht in:	Computer (Long Beach, Calif.) Calif.), 2005-11, Vol.38 (11), p.40-47
Hauptverfasser:	Cameron, K.W., Rong Ge, Xizhou Feng
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Benchmarking Benchmarks Biological system modeling Computational modeling Computer networks Computer science control theory systems Computer systems and distributed systems. User interface Costs Distributed computing Distributed processing Distributed systems DNA Dynamic tests Dynamic voltage scaling Dynamical systems Electric potential Energy conservation Energy consumption Energy efficiency Energy use Exact sciences and technology Large-scale systems Power system reliability Power-aware computing PowerPack framework Software Temperature Voltage Weather forecasting
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Beschreibung
Zusammenfassung:	The PowerPack framework enables distributed systems to profile, analyze, and conserve energy in scientific applications using dynamic voltage scaling. For one common benchmark, the framework achieves more than 30 percent energy savings with minimal performance impact.
ISSN:	0018-9162 1558-0814
DOI:	10.1109/MC.2005.380