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Descripción
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| In 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) and demonstrates its portability, simplicity and accuracy for on-line estimation. It has two off-line procedure stages. One is to automatically identify the most proper PMC events without the requirements of knowledge of the hardware platform. Another one is to train the model by employing the linear regression method or the MARS method. Experimenting on an RVC-CAL decoder, the proposed PMC-based model can achieve a maximal estimation error less than 10%. Furthermore, the experiment demonstrates that training video sequence has significant influence on the model accuracy. An experimented-based metric is introduced to better decide a training sequence. It is worth noting that this is an attractive 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 at earlier design stages. | |
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Internacional
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Si |
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Nombre congreso
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XXVIII Conference on Design of Circuits and Integrated Systems (DCIS 2013) |
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Tipo de participación
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960 |
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Lugar del congreso
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San Sebastián, Spain |
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Revisores
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Si |
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ISBN o ISSN
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978-84-8081-401-0 |
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DOI
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Fecha inicio congreso
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27/11/2013 |
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Fecha fin congreso
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27/11/2013 |
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Desde la página
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109 |
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Hasta la página
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115 |
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Título de las actas
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Proceedings of the XXVIII Conference on Design of Circuits and Integrated Systems (DCIS 2013) |