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

نویسندگان

  • Hrachya V. Astsatryan
  • Wahi Narsisian
  • Georges Da Costa
چکیده

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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عنوان ژورنال:
  • Scalable Computing: Practice and Experience

دوره 18  شماره 

صفحات  -

تاریخ انتشار 2017