Energy modeling can enable energy-aware software development and assist the developer in meeting an application's energy budget. Although many energy models for embedded processors exist, most do not account for processor-specific configurations, neither are they suitable for static energy consumption estimation. This paper introduces a comprehensive energy model for Arm's Cortex-M0 processor, ready to support energy-aware development of edge computing applications using either profiling- or static-analysis-based energy consumption estimation. The model accounts for the Frequency, PreFetch, and WaitState processor configurations which all have a significant impact on the execution time and energy consumption of edge computing applications. All models have a prediction error of less than 5%.
@article{arxiv.2104.01055,
title = {A Comprehensive and Accurate Energy Model for Arm's Cortex-M0 Processor},
author = {Kyriakos Georgiou and Zbigniew Chamski and Kris Nikov and Kerstin Eder},
journal= {arXiv preprint arXiv:2104.01055},
year = {2021}
}