DocumentCode :
1237650
Title :
High-performance, power-aware distributed computing for scientific applications
Author :
Cameron, Kirk W. ; Ge, Rong ; Feng, Xizhou
Author_Institution :
Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Volume :
38
Issue :
11
fYear :
2005
Firstpage :
40
Lastpage :
47
Abstract :
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.
Keywords :
natural sciences computing; parallel processing; power consumption; PowerPack framework; dynamic voltage scaling; parallel systems; power-aware distributed computing; scientific applications; Biological system modeling; Computational modeling; Costs; DNA; Distributed computing; Energy consumption; Large-scale systems; Power system reliability; Temperature; Weather forecasting; Distributed systems; Dynamic voltage scaling; Power-aware computing; PowerPack framework;
fLanguage :
English
Journal_Title :
Computer
Publisher :
ieee
ISSN :
0018-9162
Type :
jour
DOI :
10.1109/MC.2005.380
Filename :
1541878
Link To Document :
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