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.

Date created:

2017

Date submitted:

09.01.2016

Date accepted:

24.05.2017

Identifier:

oai:noad.sci.am:135839

DOI:

10.12694/scpe.v18i2.1286

ISSN:

1895-1767

ORCID:

click here to follow the link

Language:

English

Journal or Publication Title:

Scalable Computing: Practice and Experience

Volume:

18

Number:

2

URL:


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

Country:

Armenia ; France

Indexing:

WOS

Object collections:

Last modified:

Mar 3, 2021

In our library since:

Jul 21, 2020

Number of object content hits:

4

All available object's versions:

https://noad.sci.am/publication/149381

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