Object
Title: SaaS for Energy Efficient Utilization of HPC Resources of Linear Algebra Calculations
Co-author(s) :
Narsisian Wahi ; Georges da Costa
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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Date accepted:
Identifier:
oai:noad.sci.am:135839
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ORCID:
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Journal or Publication Title:
Scalable Computing: Practice and Experience
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Additional Information:
hrach@sci.am ; wahi@sci.am ; dacosta@irit.fr
Affiliation:
Institute for Informatics and Automation Problems ; Institute of Computer Science Research, University of Toulouse
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Indexing:
Object collections:
- Digital Library > Academic Insitutions > Insitute for Informatics and Automation Problems of NAS RA > Publications
Last modified:
Mar 3, 2021
In our library since:
Jul 21, 2020
Number of object content hits:
8
All available object's versions:
https://noad.sci.am/publication/149381
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| Edition name | Date |
|---|---|
| Hrachya Astsatryan, SaaS for Energy Efficient Utilization of HPC Resources of Linear Algebra Calculations | Mar 3, 2021 |
