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
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;
DOI :
10.1109/MC.2005.380