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SaaS for Energy Efficient Utilization of HPC Resources of Linear Algebra Calculations

Astsatryan, Hrachya and Narsisian, Wahi and Da Costa, Georges SaaS for Energy Efficient Utilization of HPC Resources of Linear Algebra Calculations. (2017) SCALABLE COMPUTING : Practice and Experience, 18 (2). 145-150. ISSN 1895-1767

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Official URL: https://doi.org/10.12694/scpe.v18i2.1286

Abstract

The most important factor of High performance computing (HPC) systems nowadays is to limit or decrease the power consumption while preserving a high utilization. And with the availability of alternative energy, which powers such systems, there is a need to maximize the usage of alternative energy over brown power. For now, the usage of alternative energy is varying in time due to different factors such as sunny days, the wind, etc. and it is crucial to have an energy-aware algorithm to maximize the usage of this energy. In this paper a SaaS service is presented to optimize a usage of alternative energy, to reduce the power consumption and to preserve a best possible percentage of resource utilization.

Item Type:Article
Additional Information:Vol 18 No 2 (2017): Special Issue on High Performance Computing Solutions for Complex Problems https://www.scpe.org/index.php/scpe/article/view/1286
HAL Id:hal-01887823
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > National Academy of Sciences of the Republic of Armenia (ARMENIA)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:18 Sep 2018 15:03

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