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Conference Papers Year : 2018

Constructing an Accurate and a High-Performance Power Profiler for Embedded Systems and Smartphones

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Abstract

The main objective of this paper is to present a new accurate power profiler for embedded systems and smartphones. The second objective is, for it, to be a tutorial explaining the main steps to build power profilers for embedded and mobile systems, in general. We start our work by firstly describing the general methodology of building a power profiler. Then, we showcase how each step is undertaken to build a profiler with two power models. The first one was an artificial neural network (called N 2) that presented a lot of noise in its estimation. After debugging and improvement, the second model, a NARX neural network (we call N 3) was built. It eliminated all the drawback of the first model and had a mean absolute percentage error of 2.8%.
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Dates and versions

hal-01907145 , version 1 (28-10-2018)

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Oussama Djedidi, Mohand Djeziri, Nacer M'Sirdi, Aziz Naamane. Constructing an Accurate and a High-Performance Power Profiler for Embedded Systems and Smartphones. MSWIM '18 21st ACM Int'l Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems, Oct 2018, Montreal, Canada. ⟨10.1145/3242102.3242139⟩. ⟨hal-01907145⟩
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