 | Monter d'un niveau |
Dupraz, E., Leduc-Primeau, F., Cai, K., & Dolecek, L. (2023). Turning to Information Theory to Bring In-Memory Computing Into Practice. IEEE BITS the Information Theory Magazine, 13 pages. Lien externe
Dupraz, E., & Leduc-Primeau, F. (2021). Noisy density evolution with asymmetric deviation models. IEEE Transactions on Communications, 69(3), 1403-1416. Lien externe
Dupraz, E., Varshney, L. R., & Leduc-Primeau, F. (octobre 2021). Power-Efficient Deep Neural Networks with Noisy Memristor Implementation [Communication écrite]. IEEE Information Theory Workshop (ITW 2021), Kanazawa, Japan (5 pages). Lien externe
Dupraz, E., Leduc-Primeau, F., & Gagnon, F. (décembre 2018). Low-Latency LDPC Decoding Achieved by Code and Architecture Co-Design [Communication écrite]. International Symposium on Turbo Codes & Iterative Information Processing (ISTC 2018), Hong Kong, Chine. Lien externe
Kern, J., Henwood, S., Mordido, G., Dupraz, E., Aissa-El-Bey, A., Savaria, Y., & Leduc-Primeau, F. (2024). Fast and Accurate Output Error Estimation for Memristor-Based Deep Neural Networks. IEEE Transactions on Signal Processing, 72, 1205-1218. Lien externe
Kern, J., Henwood, S., Mordido, G., Dupraz, E., Aissa-El-Bey, A., Savaria, Y., & Leduc-Primeau, F. (juin 2022). MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators [Communication écrite]. IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) - Intelligent Technology in the Post-Pandemic Era, Incheon, South Korea. Lien externe
Kern, J., Dupraz, E., Aissa-El-bey, A., Varshney, L. R., & Leduc-Primeau, F. (2022). Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. Sensors, 22(3), 20 pages. Lien externe
Kern, J., Dupraz, E., Aissa-El-Bey, A., & Leduc-Primeau, F. (juin 2021). Improving the energy-efficiency of a Kalman filter using unreliable memories [Communication écrite]. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Ont.. Lien externe
Nadal, J., Yaoumi, M., Dupraz, E., Guilloud, F., & Leduc-Primeau, F. (septembre 2023). Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders [Communication écrite]. 12th International Symposium on Topics in Coding (ISTC 2023), Brest, France (5 pages). Lien externe
Nadal, J., Brown, S., Dupraz, E., & Leduc-Primeau, F. (août 2021). Towards an Accurate High-Level Energy Model for LDPC Decoders [Communication écrite]. 11th International Symposium on Topics in Coding (ISTC 2021), Montréal, QC, Canada (6 pages). Lien externe
Nadal, J., Fiorentino, M., Dupraz, E., & Leduc-Primeau, F. (juin 2020). A Deeply Pipelined, Highly Parallel and Flexible LDPC Decoder [Communication écrite]. 18th IEEE International New Circuits and Systems Conference (NEWCAS 2020), Montréal, QC, Canada. Lien externe
Yaoumi, M., Dupraz, E., Leduc-Primeau, F., & Guilloud, F. (2020). Energy optimization of quantized min-sum decoders for protograph-based LDPC codes. [Annales des Telecommunications]. Lien externe
Yaoumi, M., Leduc-Primeau, F., Dupraz, E., & Guilloud, F. (août 2019). Optimization of protograph LDPC codes based on high-level energy models [Communication écrite]. 16th International Symposium on Wireless Communication Systems, (ISWCS 2019), Oulu, Finland. Lien externe
