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