1 citations · 1 across the 5 of their papers we have counts for
8 papers
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…
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…
Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders
Mohamed Yaoumi, Jeremy Nadal, Elsa Dupraz +2
The objective of this paper is to minimize the energy consumption of a quantized Min-Sum LDPC decoder, by considering aggressive voltage downscaling of the decoder circuit. Since l…
Noisy Density Evolution With Asymmetric Deviation Models
Elsa Dupraz, François Leduc-Primeau
This paper considers low-density parity-check (LDPC) decoders affected by deviations introduced by the electronic device on which the decoder is implemented. Noisy density evolutio…
Optimized Rate-Adaptive Protograph-Based LDPC Codes for Source Coding with Side Information
Fangping Ye, Elsa Dupraz, Zeina Mheich +1
This paper considers the problem of source coding with side information at the decoder, also called Slepian-Wolf source coding scheme. In practical applications of this coding sche…
Decentralized Clustering on Compressed Data without Prior Knowledge of the Number of Clusters
Elsa Dupraz, Dominique Pastor, François-Xavier Socheleau
In sensor networks, it is not always practical to set up a fusion center. Therefore, there is need for fully decentralized clustering algorithms. Decentralized clustering algorithm…