Using Data-flow analysis in MAS for power-aware HPC runs

Reference : Using Data-flow analysis in MAS for power-aware HPC runs


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/15700

Title :	Using Data-flow analysis in MAS for power-aware HPC runs
Language :	English
Author, co-author :	Varrette, Sébastien [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
	Danoy, Grégoire [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
	Guzek, Mateusz [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
	Besseron, Xavier [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit]
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
Publication date :	2013
Main document title :	Proc. of the IEEE Intl. Conf. on High Performance Computing and Simulation (HPCS'13)
Publisher :	IEEE Computer Society
Peer reviewed :	No
On invitation :	Yes
Audience :	International
Event name :	The 2013 International Conference on High Performance Computing & Simulation (HPCS 2013)
Event date :	from 01-07-2013 to 05-07-2013
Research centres :	University of Luxembourg: High Performance Computing - ULHPC
Permalink :	http://hdl.handle.net/10993/15700

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	File	Commentary	Version	Size	Access
Open access	hpcs2013_extended_abstract.pdf	http://dx.doi.org/10.1109/HPCSim.2013.6641407	Author postprint	326.68 kB	View/Open

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