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Journal Articles Scalable Computing : Practice and Experience Year : 2017

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

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.
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Dates and versions

hal-01887823 , version 1 (04-10-2018)

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Hrachya Astsatryan, Wahi Narsisian, Georges da Costa. SaaS for Energy Efficient Utilization of HPC Resources of Linear Algebra Calculations. Scalable Computing : Practice and Experience, 2017, 18 (2), pp.145-150. ⟨10.12694/scpe.v18i2.1286⟩. ⟨hal-01887823⟩
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