Documents dont l'auteur est "Leduc-Primeau, François"

François Leduc-PrimeauDépartement de génie électriqueVoir sa fiche dans le Répertoire des Expertises de Polytechnique Montréal

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AskariHemmat, M.H., Dupuis, T., Fournier, Y., El Zarif, N., Cavalcante, M., Perotti, M., Gurkaynak, F., Benini, L., Leduc-Primeau, F., Savaria, Y., & David, J. P. Quark: an integer RISC-V vector processor for sub-byte quantized DNN inference [Communication écrite]. 2023 IEEE International Symposium on Circuits and Systems (ISCAS 2023), Monterey, CA, USA (5 pages). Lien externe

Ardakani, A., Leduc-Primeau, F., Onizawa, N., Hanyu, T., & Gross, W. J. (2017). VLSI Implementation of Deep Neural Network Using Integral Stochastic Computing. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 25(10), 2688-2699. Lien externe

Ardakani, A., Leduc-Primeau, F., & Gross, W. J. (mars 2016). Hardware implementation of FIR/IIR digital filters using integral stochastic computation [Communication écrite]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China. Lien externe

Ardakani, A., Leduc-Primeau, F., Onizawa, N., Hanyu, T., & Gross, W. J. (septembre 2016). VLSI implementation of deep neural networks using integral stochastic computing [Communication écrite]. 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC 2016), Brest, France. Lien externe

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Brown, S., Nadal, J., & Leduc-Primeau, F. (septembre 2023). Low-Activity Gallager-B LDPC Decoding [Communication écrite]. 12th International Symposium on Topics in Coding (ISTC 2023), Brest, France (5 pages). Lien externe

Boga, K., Leduc-Primeau, F., Onizawa, N., Matsumiya, K., Hanyu, T., & Gross, W. J. (2016). A Generalized Stochastic Implementation of the Disparity Energy Model for Depth Perception. Journal of Signal Processing Systems, 90(5), 709-725. Lien externe

Boga, K., Onizawa, N., Leduc-Primeau, F., Matsumiya, K., Hanyu, T., & Gross, W. J. (octobre 2015). Stochastic implementation of the disparity energy model for depth perception [Communication écrite]. IEEE Workshop on Signal Processing Systems (SiPS 2015), Hangzhou, China (6 pages). Lien externe

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Condo, C., Giard, P., Leduc-Primeau, F., Sarkis, G., & Gross, W. J. (2018). A 9.52 dB NCG FEC Scheme and 162 b/Cycle Low-Complexity Product Decoder Architecture. IEEE Transactions on Circuits and Systems I: Regular Papers, 65(4), 1420-1431. Lien externe

Condo, C., Leduc-Primeau, F., Sarkis, G., Giard, P., & Gross, W. J. (décembre 2016). Stall pattern avoidance in polynomial product codes [Communication écrite]. IEEE Global Conference on Signal and Information Processing (GlobalSIP 2016), Washington, D.C.. Lien externe

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Dupuis, T., Fournier, Y., AskariHemmat, M.H., Zarif, N. E., Leduc-Primeau, F., David, J. P., & Savaria, Y. (juin 2023). Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference [Communication écrite]. 21st IEEE Interregional NEWCAS Conference (NEWCAS 2023), Edinburgh, United Kingdom (5 pages). Lien externe

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

Dermont, D. B., Nadal, J., & Leduc-Primeau, F. (juin 2022). Single-Minimum LDPC Decoding Offset Optimization Methods [Communication écrite]. 17th Canadian Workshop on Information Theory (CWIT 2022), Ottawa, ON, Canada. 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

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El-Sayegh, B., Dumoulin, C., Ali, M., Assaf, H., De Jong, J., Sawan, M., & Leduc-Primeau, F. (2022). Portable Dynamometer-Based Measurement of Pelvic Floor Muscle Force. IEEE Journal of Translational Engineering in Health and Medicine, 11, 44-53. Lien externe

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Gross, W. J., Leduc-Primeau, F., Hemati, S., & Mannor, S. (2014). Method and system for decoding. (Brevet no US8898537). Lien externe

Gross, W. J., Hemati, S., Mannor, S., Naderi, A., & Leduc-Primeau, F. (2014). Method and system for decoding. (Brevet no US8677227). Lien externe

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Hojatian, H., Mlika, Z., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2024). Learning energy-efficient transmitter configurations for massive MIMO beamforming. IEEE Transactions on Machine Learning in Communications and Networking, 2, 939-955. Disponible

Humblet, E., Dupuis, T., Fournier, Y., AskariHemmat, M. H., Leduc-Primeau, F., David, J. P., & Savaria, Y. (août 2024). MSPARQ: A RISC-V Vector Processor Array Optimized for Low-Resolution Neural Networks [Communication écrite]. IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS 2024), Springfield, MA, USA. Lien externe

Hojatian, H., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2022). Decentralized Beamforming for Cell-Free Massive MIMO with Unsupervised Learning. IEEE Communications Letters, 26(5), 1042-1046. Lien externe

Hojatian, H., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (décembre 2022). Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming [Communication écrite]. IEEE Global Communications Conference (GLOBECOM 2022), Rio de Janeiro, Brazil. Lien externe

Hojatian, H., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2021). Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming. IEEE Transactions on Wireless Communications, 20(11), 7086-7099. Lien externe

Henwood, S., Leduc-Primeau, F., & Savaria, Y. (août 2020). Layerwise noise maximisation to train low-energy deep neural networks [Communication écrite]. 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2020), Genova, Italy. Lien externe

Hojatian, H., Ha, V. N., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (juin 2020). RSSI-Based Hybrid Beamforming Design with Deep Learning [Communication écrite]. IEEE International Conference on Communications (ICC 2020), Dublin, Ireland (6 pages). Lien externe

Hacene, G. B., Leduc-Primeau, F., Soussia, A. B., Gripon, V., & Gagnon, F. (mai 2019). Training modern deep neural networks for memory-fault robustness [Communication écrite]. IEEE International Symposium on Circuits and Systems (ISCAS 2019), Sapporo, Japan (5 pages). Lien externe

Hemati, S., Leduc-Primeau, F., & Gross, W. J. (2016). A Relaxed Min-Sum LDPC Decoder With Simplified Check Nodes. IEEE Communications Letters, 20(3), 422-425. Lien externe

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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

Karkan, A. H., Hojatian, H., Frigon, J.-F., & Leduc-Primeau, F. (mai 2024). SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming [Communication écrite]. 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN 2024), Stockhom, Sweden. 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

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Leduc-Primeau, F., Hemati, S., Gaudet, V. C., & Gross, W. J. (2019). Stochastic Decoding of Error-Correcting Codes. Dans Gross, W. J., & Gaudet, V. C. (édit.), Stochastic Computing: Techniques and Applications (p. 201-215). Lien externe

Leduc-Primeau, F., Kschischang, F. R., & Gross, W. J. (2018). Modeling and Energy Optimization of LDPC Decoder Circuits With Timing Violations. IEEE Transactions on Communications, 66(3), 932-946. Lien externe

Leduc-Primeau, F. (2016). Designing energy-efficient systems by exploiting error-correction codes [Thèse de doctorat, McGill University]. Lien externe

Leduc-Primeau, F., Gripon, V., Rabbat, M. G., & Gross, W. J. (2016). Fault-Tolerant Associative Memories Based on c-Partite Graphs. IEEE Transactions on Signal Processing, 64(4), 829-841. Lien externe

Leduc-Primeau, F., & Gross, W. J. (septembre 2016). Finite-length quasi-synchronous LDPC decoders [Communication écrite]. 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC 2016), Brest, France. Lien externe

Leduc-Primeau, F., Kschischang, F. R., & Gross, W. J. (juin 2015). Energy optimization of LDPC decoder circuits with timing violations [Communication écrite]. IEEE International Conference on Communications (ICC 2015), London, UK. Lien externe

Leduc-Primeau, F., Gaudet, V. C., & Gross, W. J. (2015). Stochastic Decoders for LDPC Codes. Dans Chavet, C., & Coussy, P. (édit.), Advanced Hardware Design for Error Correcting Codes (p. 105-128). Lien externe

Leduc-Primeau, F., Gripon, V., Rabbat, M. G., & Gross, W. J. (mai 2014). Cluster-based associative memories built from unreliable storage [Communication écrite]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), Florence, Italy. Lien externe

Leduc-Primeau, F., Hemati, S., Mannor, S., & Gross, W. J. (2013). Relaxed Half-Stochastic Belief Propagation. IEEE Transactions on Communications, 61(5), 1648-1659. Lien externe

Leduc-Primeau, F., Hemati, S., Mannor, S., & Gross, W. J. (2012). Dithered Belief Propagation Decoding. IEEE Transactions on Communications, 60(8), 2042-2047. Lien externe

Leduc-Primeau, F., & Gross, W. J. (octobre 2012). Faulty Gallager-B decoding with optimal message repetition [Communication écrite]. 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton 2012), Monticello, IL. Lien externe

Leduc-Primeau, F., Raymond, A. J., Giard, P., Cushon, K., Thibeault, C., & Gross, W. J. (octobre 2012). High-throughput LDPC decoding using the RHS algorithm [Communication écrite]. Conference on Design and Architectures for Signal and Image Processing, Karlsruhe, Germany (6 pages). Lien externe

Leduc-Primeau, F., Hemati, S., Mannor, S., & Gross, W. J. (décembre 2010). Lowering Error Floors Using Dithered Belief Propagation [Communication écrite]. IEEE Global Telecommunications Conference (GLOBECOM 2010), Miami, FL. Lien externe

Leduc-Primeau, F. (2010). A relaxed half-stochastic decoding algorithm for LDPC codes [Mémoire de maîtrise, McGill University]. Lien externe

Leduc-Primeau, F., Hemati, S., Gross, W. J., & Mannor, S. (novembre 2009). A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes [Communication écrite]. IEEE Global Telecommunications Conference (GLOBECOM 2009), Honolulu, HI (6 pages). Lien externe

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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

Nadal, J., Leduc-Primeau, F., Nour, C. A., & Baghdadi, A. (2020). Overlap-Save FBMC Receivers. IEEE Transactions on Wireless Communications, 19(8), 5307-5320. Lien externe

Nadal, J., Leduc-Primeau, F., Nour, C. A., & Baghdadi, A. (mai 2018). A Block FBMC Receiver Designed for Short Filters [Communication écrite]. IEEE International Conference on Communications (ICC 2018), Kansas City, MO, USA (6 pages). Lien externe

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Vialatte, J.-C., & Leduc-Primeau, F. (février 2017). A Study of Deep Learning Robustness Against Computation Failures [Communication écrite]. 9th International Conference on Advanced Cognitive Technologies and Applications, Athens, Greece. Lien externe

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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

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Zhang, Y., Savaria, Y., Sawan, M., & Leduc-Primeau, F. (juin 2024). S³ 1DCNN: A Compact Stacked Spectral-Spatial Attention 1DCNN for Seizure Prediction with Wearables [Communication écrite]. 22nd IEEE Interregional NEWCAS Conference (NEWCAS 2024), Sherbrooke, QC, Canada. Lien externe

Zhang, Y., Savaria, Y., Zhao, S., Mordido, G., Sawan, M., & Leduc-Primeau, F. (juillet 2022). Tiny CNN for Seizure Prediction in Wearable Biomedical Devices [Communication écrite]. 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2022), Glasgow, United Kingdom. Lien externe

Zarif, N. E., Montazeri, L., Leduc-Primeau, F., & Sawan, M. (2021). Mobile-Optimized Facial Expression Recognition Techniques. IEEE Access, 9, 101172-101185. Lien externe