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arXiv · 2104.01055

A Comprehensive and Accurate Energy Model for Arm's Cortex-M0 Processor

Kyriakos Georgiou·Zbigniew Chamski·Kris Nikov·Kerstin Eder
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Abstract

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%.

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Kyriakos Georgiou, Zbigniew Chamski, Kris Nikov, Kerstin Eder. 2021-04-02. A Comprehensive and Accurate Energy Model for Arm's Cortex-M0 Processor. https://arxiv.org/abs/2104.01055

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