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Optimizing job performance under a given power constraint in HPC centers

Author
Etinski, M.; Corbalan, J.; Labarta, J.; Valero, M.
Type of activity
Presentation of work at congresses
Name of edition
1st International Green Computing Conference
Date of publication
2010
Presentation's date
2010-08
Book of congress proceedings
2010 International Conference on Green Computing: August 15-18, 2010, Chicago, IL
First page
257
Last page
267
DOI
https://doi.org/10.1109/GREENCOMP.2010.5598303 Open in new window
Repository
http://hdl.handle.net/2117/109233 Open in new window
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5598303&isnumber=5598251 Open in new window
Abstract
Never-ending striving for performance has resulted in a tremendous increase in power consumption of HPC centers. Power budgeting has become very important from several reasons such as reliability, operating costs and limited power draw due to the existing infrastructure. In this paper we propose a power budget guided job scheduling policy that maximize overall job performance for a given power budget. We have shown that using DVFS under a power constraint performance can be significantly improve...
Citation
Etinski, M., Corbalán, J., Labarta, J., Valero, M. Optimizing job performance under a given power constraint in HPC centers. A: International Green Computing Conference. "2010 International Conference on Green Computing: August 15-18, 2010, Chicago, IL". Chicago, IL: 2010, p. 257-267.
Keywords
Multiprocessing systems, Optimisation, Power aware computing, Power consumption, Processor scheduling
Group of research
CAP - High Performace Computing Group

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