AModel-Driven Approach for Hybrid Power Estimation in Embedded Systems Design

Abstract : As technology scales for increased circuit density and performance, the management of power consumption in system-on-chip (SoC) is becoming critical. Today, having the appropriate electronic systemlevel (ESL) tools for power estimation in the design flow is mandatory. The main challenge for the design of such dedicated tools is to achieve a better tradeoff between accuracy and speed. This paper presents a consumption estimation approach allowing taking the consumption criterion into account early in the design flow during the system cosimulation. The originality of this approach is that it allows the power estimation for both white-box intellectual properties (IPs) using annotated power models and black-box IPs using standalone power estimators. In order to obtain accurate power estimates, our simulationswere performed at the cycle-accurate bit-accurate (CABA) level, using SystemC. Tomake our approach fast and not tedious for users, the simulated architectures, including standalone power estimators, were generated automatically using amodel driven engineering (MDE) approach. Both annotated power models and standalone power estimators can be used together to estimate the consumption of the same architecture, which makes them complementary. The simulation results showed that the power estimates given by both estimation techniques for a hardware component are very close, with a difference that does not exceed 0.3%. This proves that, even when the IP code is not accessible or not modifiable, our approach allows obtaining quite accurate power estimates that early in the design flow thanks to the automation offered by the MDE approach.
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EURASIP Journal on Embedded Systems, SpringerOpen, 2011
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  • HAL Id : inria-00584360, version 1

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Chiraz Trabelsi, Rabie Ben Atitallah, Samy Meftali, Jean-Luc Dekeyser, Abderrazak Jemai. AModel-Driven Approach for Hybrid Power Estimation in Embedded Systems Design. EURASIP Journal on Embedded Systems, SpringerOpen, 2011. 〈inria-00584360〉

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