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%.
| Original language | Undefined/Unknown |
|---|---|
| Number of pages | 10 |
| DOIs | |
| Publication status | Unpublished - 2 Apr 2021 |
Bibliographical note
10 pages, 1 figure, 2 tablesKeywords
- cs.SE
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This is a pre-print server version of the article. It first appeared online via arXiv at https://arxiv.org/abs/2104.01055v1. Please refer to any applicable terms of use of the publisher.