2 papers
cs.LG2022
MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators
Jonathan Kern, Sébastien Henwood, Gonçalo Mordido +4
Memristors enable the computation of matrix-vector multiplications (MVM) in memory and, therefore, show great potential in highly increasing the energy efficiency of deep neural ne…
cs.IT2021
Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering
Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey +2
This paper presents a quantized Kalman filter implemented using unreliable memories. We consider that both the quantization and the unreliable memories introduce errors in the comp…