Julia Steed, Sebastian M. Boussard, Andreu L. Glasmann, Sina Najmaei, James S. Plank and Catherine D. Schuman

December, 2024

IEEE International Conference on Rebooting Computing (ICRC)

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Abstract

Hafnia-based ferroelectric devices are promising for future embedded electronics, but their performance is largely untested when integrated into neurormorphic computing architectures. In this work, we investigate how these devices perform in a variety of classification and control tasks. Within our framework, we show that different read voltages on these devices can have an impact on performance, but overall, these devices as synapses can achieve comparable or better performance within a neuromorphic system than neuromorphic systems with more continuous, higher precision synaptic weights.

Citation Information

Text

author     J. Steed and S. M. Boussard and A. L. Glasmann and S. Najmaei and
           J. S. Plank and C. D. Schuman
title      Evaluation of Ferroelectric Devices for Neuromorphic Applications
booktitle  IEEE International Conference on Rebooting Computing (ICRC)
month      December
year       2024
address    San Diego

Bibtex

@INPROCEEDINGS{sbg:24:efd,
    author = "J. Steed and S. M. Boussard and A. L. Glasmann and S. Najmaei and
           J. S. Plank and C. D. Schuman",
    title = "Evaluation of Ferroelectric Devices for Neuromorphic Applications",
    booktitle = "IEEE International Conference on Rebooting Computing (ICRC)",
    month = "December",
    year = "2024",
    address = "San Diego"
}