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A Power Consumption Estimation Approach for Embedded Software Design using Trace Analysis

Abstract : With the explosion of advanced power control knobs such as dynamic voltage frequency scaling, mastering energy constraints in embedded systems is becoming challenging for software developers. Several power estimation techniques have been proposed over the past years, from electrical level to more abstract models such as SystemC/TLM. They offer various trade-offs between performance and accuracy, but suffer from a number of shortcomings. They are expensive and time-consuming, requiring intricate models of the architecture and finally, fail to be applied from the software developer perspective. In this paper, we propose a lightweight and cost-effective approach suitable for software developers. It relies on trace analysis and high-level modeling of architectures to perform quick and efficient power consumption estimations without loosing accuracy. This approach is fully supported by a tool and is validated using a simple thermal mitigation case study and checked against physical measurements. We show that, for our case study, the relative error between our tool and real values is 8% in average.
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Submitted on : Wednesday, September 16, 2015 - 10:25:10 AM
Last modification on : Wednesday, June 23, 2021 - 10:56:03 AM
Long-term archiving on: : Tuesday, December 29, 2015 - 7:26:47 AM


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  • HAL Id : cea-01199765, version 1



Yassine Ben Atitallah, Julien Mottin, Nicolas Hili, Thomas Ducroux, Guillaume Godet-Bar. A Power Consumption Estimation Approach for Embedded Software Design using Trace Analysis. Euromicro Conference series on Software Engineering and Advanced Applications (SEAA), Aug 2015, Funchal, Madeira, Portugal. ⟨cea-01199765⟩



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