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Power Measurement Methods for Energy Efficient Applications

Energy consumption constraints on computing systems are more important than ever. Maintenance costs for high performance systems are limiting the applicability of processing devices with large dissipation power. New solutions are needed to increase both the computation capability and the power effic...

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Detalles Bibliográficos
Autores principales: Calandrini, Guilherme, Gardel, Alfredo, Bravo, Ignacio, Revenga, Pedro, Lázaro, José L., Toledo-Moreo, F. Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715245/
https://www.ncbi.nlm.nih.gov/pubmed/23778191
http://dx.doi.org/10.3390/s130607786
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author Calandrini, Guilherme
Gardel, Alfredo
Bravo, Ignacio
Revenga, Pedro
Lázaro, José L.
Toledo-Moreo, F. Javier
author_facet Calandrini, Guilherme
Gardel, Alfredo
Bravo, Ignacio
Revenga, Pedro
Lázaro, José L.
Toledo-Moreo, F. Javier
author_sort Calandrini, Guilherme
collection PubMed
description Energy consumption constraints on computing systems are more important than ever. Maintenance costs for high performance systems are limiting the applicability of processing devices with large dissipation power. New solutions are needed to increase both the computation capability and the power efficiency. Moreover, energy efficient applications should balance performance vs. consumption. Therefore power data of components are important. This work presents the most remarkable alternatives to measure the power consumption of different types of computing systems, describing the advantages and limitations of available power measurement systems. Finally, a methodology is proposed to select the right power consumption measurement system taking into account precision of the measure, scalability and controllability of the acquisition system.
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spelling pubmed-37152452013-07-24 Power Measurement Methods for Energy Efficient Applications Calandrini, Guilherme Gardel, Alfredo Bravo, Ignacio Revenga, Pedro Lázaro, José L. Toledo-Moreo, F. Javier Sensors (Basel) Article Energy consumption constraints on computing systems are more important than ever. Maintenance costs for high performance systems are limiting the applicability of processing devices with large dissipation power. New solutions are needed to increase both the computation capability and the power efficiency. Moreover, energy efficient applications should balance performance vs. consumption. Therefore power data of components are important. This work presents the most remarkable alternatives to measure the power consumption of different types of computing systems, describing the advantages and limitations of available power measurement systems. Finally, a methodology is proposed to select the right power consumption measurement system taking into account precision of the measure, scalability and controllability of the acquisition system. Molecular Diversity Preservation International (MDPI) 2013-06-18 /pmc/articles/PMC3715245/ /pubmed/23778191 http://dx.doi.org/10.3390/s130607786 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Calandrini, Guilherme
Gardel, Alfredo
Bravo, Ignacio
Revenga, Pedro
Lázaro, José L.
Toledo-Moreo, F. Javier
Power Measurement Methods for Energy Efficient Applications
title Power Measurement Methods for Energy Efficient Applications
title_full Power Measurement Methods for Energy Efficient Applications
title_fullStr Power Measurement Methods for Energy Efficient Applications
title_full_unstemmed Power Measurement Methods for Energy Efficient Applications
title_short Power Measurement Methods for Energy Efficient Applications
title_sort power measurement methods for energy efficient applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715245/
https://www.ncbi.nlm.nih.gov/pubmed/23778191
http://dx.doi.org/10.3390/s130607786
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