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MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators

Jonathan Kern, Sébastien Henwood, Goncalo Filipe Torcato Mordido, Elsa Dupraz, Abdeldjalil Aissa-El-Bey, Yvon Savaria and François Leduc-Primeau

Paper (2022)

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Department: Department of Electrical Engineering
ISBN: 9781665409964
PolyPublie URL: https://publications.polymtl.ca/51939/
Conference Title: IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) - Intelligent Technology in the Post-Pandemic Era
Conference Location: Incheon, South Korea
Conference Date(s): 2022-06-13 - 2022-06-15
Publisher: IEEE
DOI: 10.1109/aicas54282.2022.9869978
Official URL: https://doi.org/10.1109/aicas54282.2022.9869978
Date Deposited: 18 Apr 2023 14:58
Last Modified: 08 Apr 2025 14:40
Cite in APA 7: Kern, J., Henwood, S., Torcato Mordido, G. F., Dupraz, E., Aissa-El-Bey, A., Savaria, Y., & Leduc-Primeau, F. (2022, June). MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators [Paper]. IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) - Intelligent Technology in the Post-Pandemic Era, Incheon, South Korea. https://doi.org/10.1109/aicas54282.2022.9869978

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