Jonathan Kern, Sébastien Henwood, Goncalo Filipe Torcato Mordido, Elsa Dupraz, Abdeldjalil Aissa-El-Bey, Yvon Savaria and François Leduc-Primeau
Paper (2022)
An external link is available for this itemDepartment: | Department of Electrical Engineering |
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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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