READ ME File for 'Dataset for "Power- and Deadline-Aware Dynamic Inference on Intermittent Computing Systems"'
Dataset DOI: https://doi.org/10.5258/SOTON/D3341
ReadMe Author: Hengrui Zhao, University of Southampton
This dataset supports the publication:
AUTHORS: Hengrui Zhao, Lei Xun, Jagmohan Chauhan, Geoff Merrett
TITLE: Power- and Deadline-Aware Dynamic Inference on Intermittent Computing Systems
CONFERENCE: Design, Automation and Test in Europe Conference 2025
PAPER DOI IF KNOWN: 


This dataset contains:

'Fig1.csv': Data supporting Fig. 1. Comparison of accuracy and inference latency of ePerceptron with the baseline.
'Fig6.csv': Data supporting Fig. 6. The operating cycles of the system when running the largest sub-network of DualAdaptNet at different current inputs.
'Fig7.csv': Data supporting Fig. 7. The accuracy and inference latency of DualAdaptNet, ePerceptive, and Zygarde under continuous power supply.
'Fig8.csv': Data supporting Fig. 8. The number of completed and correct inferences performed by the three models (DualAdaptNet, ePerceptive, and Zygarde) under constant current supply.
'Fig9.csv': Data supporting Fig. 9. The number of completed and correct inferences performed by the three models (DualAdaptNet, ePerceptive, and Zygarde) under varying current supply.


Date of data collection: July - August 2024
Information about geographic location of data collection: Southampton, UK
Licence: CC BY 4.0
Date that the file was created: January 2025