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Memorias de investigación
Ponencias en congresos:
System-Level PMC-driven Energy Estimation Models in RVC-CAL Video Codec Specifications
Año:2013
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones
Datos
Descripción
n this paper, a platform-independent energy estimation methodology is proposed to estimate the energy consumption of RVC-CAL video codec specifications. This methodology is based on the performance monitoring counters (PMCs) of embedded platforms and demonstrates its portability, simplicity and accuracy for on-line estimation. It has two off-line procedure stages, the former, which automatically identifies the most appropriate PMCs with no requirement on any specific detailed knowledge of the employed platform and, the latter, which trains the model using either a linear regression or a MARS method. Experimenting on an RVC-CAL decoder, the proposed PMC-driven model can achieve a maximum estimation error smaller than 10%. Furthermore, the results show that the training video sequence has significant influence on the model accuracy. An experimental metric is introduced to achieve more stable accurate models based on a combination of training sequences. Furthermore, the comparison between linear and MARS methods demonstrates the better predictive ability of piecewise modeling techniques in different scenarios. It is worth noting the attractiveness of this asset to analyze the energy consumption of RVC-CAL codec specifications. As a consequence, this methodology is suggested to be combined into the RVC framework to help the designer to have an overview of the energy consumption and energy-aware decoder reconfiguration.
Internacional
Si
Nombre congreso
Design and Architectures for Signal and Image Processing (DASIP), 2013 Conference on
Tipo de participación
960
Lugar del congreso
Cagliari
Revisores
Si
ISBN o ISSN
1966-7116
DOI
Fecha inicio congreso
08/10/2013
Fecha fin congreso
10/10/2013
Desde la página
55
Hasta la página
62
Título de las actas
Proceedings of the Conference on Design and Architectures for Signal and Image Processing (DASIP), 2013
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Rong Ren . (UPM)
  • Autor: Eduardo Juarez Martinez (UPM)
  • Autor: Cesar Sanz Alvaro (UPM)
  • Autor: Mickael Raulet (IETR/INSA Rennes)
  • Autor: Fernando Pescador Del Oso (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Diseño Electrónico y Microelectrónico
  • Centro o Instituto I+D+i: Tecnologías del Software y Sistemas Multimedia para la Sostenibilidad (CITSEM)
  • Departamento: Sistemas Electrónicos y de Control
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