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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 [Paper]. 2023 IEEE International Symposium on Circuits and Systems (ISCAS 2023), Monterey, CA, USA (5 pages). External link
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. External link
Ardakani, A., Leduc-Primeau, F., & Gross, W. J. (2016, March). Hardware implementation of FIR/IIR digital filters using integral stochastic computation [Paper]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China. External link
Ardakani, A., Leduc-Primeau, F., Onizawa, N., Hanyu, T., & Gross, W. J. (2016, September). VLSI implementation of deep neural networks using integral stochastic computing [Paper]. 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC 2016), Brest, France. External link
Brown, S., Nadal, J., & Leduc-Primeau, F. (2023, September). Low-Activity Gallager-B LDPC Decoding [Paper]. 12th International Symposium on Topics in Coding (ISTC 2023), Brest, France (5 pages). External link
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. External link
Boga, K., Onizawa, N., Leduc-Primeau, F., Matsumiya, K., Hanyu, T., & Gross, W. J. (2015, October). Stochastic implementation of the disparity energy model for depth perception [Paper]. IEEE Workshop on Signal Processing Systems (SiPS 2015), Hangzhou, China (6 pages). External link
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. External link
Condo, C., Leduc-Primeau, F., Sarkis, G., Giard, P., & Gross, W. J. (2016, December). Stall pattern avoidance in polynomial product codes [Paper]. IEEE Global Conference on Signal and Information Processing (GlobalSIP 2016), Washington, D.C.. External link
Dupuis, T., Fournier, Y., AskariHemmat, M.H., Zarif, N. E., Leduc-Primeau, F., David, J. P., & Savaria, Y. (2023, June). Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference [Paper]. 21st IEEE Interregional NEWCAS Conference (NEWCAS 2023), Edinburgh, United Kingdom (5 pages). External link
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. External link
Dermont, D. B., Nadal, J., & Leduc-Primeau, F. (2022, June). Single-Minimum LDPC Decoding Offset Optimization Methods [Paper]. 17th Canadian Workshop on Information Theory (CWIT 2022), Ottawa, ON, Canada. External link
Dupraz, E., & Leduc-Primeau, F. (2021). Noisy density evolution with asymmetric deviation models. IEEE Transactions on Communications, 69(3), 1403-1416. External link
Dupraz, E., Varshney, L. R., & Leduc-Primeau, F. (2021, October). Power-Efficient Deep Neural Networks with Noisy Memristor Implementation [Paper]. IEEE Information Theory Workshop (ITW 2021), Kanazawa, Japan (5 pages). External link
Dupraz, E., Leduc-Primeau, F., & Gagnon, F. (2018, December). Low-Latency LDPC Decoding Achieved by Code and Architecture Co-Design [Paper]. International Symposium on Turbo Codes & Iterative Information Processing (ISTC 2018), Hong Kong, Chine. External link
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. External link
Gross, W. J., Leduc-Primeau, F., Hemati, S., & Mannor, S. (2014). Method and system for decoding. (Patent no. US8898537). External link
Gross, W. J., Hemati, S., Mannor, S., Naderi, A., & Leduc-Primeau, F. (2014). Method and system for decoding. (Patent no. US8677227). External link
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. Available
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. External link
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. External link
Hojatian, H., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2022, December). Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming [Paper]. IEEE Global Communications Conference (GLOBECOM 2022), Rio de Janeiro, Brazil. External link
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. External link
Henwood, S., Leduc-Primeau, F., & Savaria, Y. (2020, August). Layerwise noise maximisation to train low-energy deep neural networks [Paper]. 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2020), Genova, Italy. External link
Hojatian, H., Ha, V. N., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2020, June). RSSI-Based Hybrid Beamforming Design with Deep Learning [Paper]. IEEE International Conference on Communications (ICC 2020), Dublin, Ireland (6 pages). External link
Hacene, G. B., Leduc-Primeau, F., Soussia, A. B., Gripon, V., & Gagnon, F. (2019, May). Training modern deep neural networks for memory-fault robustness [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2019), Sapporo, Japan (5 pages). External link
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. External link
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. External link
Karkan, A. H., Hojatian, H., Frigon, J.-F., & Leduc-Primeau, F. (2024, May). SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming [Paper]. 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN 2024), Stockhom, Sweden. External link
Kern, J., Henwood, S., Mordido, G., 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. External link
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. External link
Kern, J., Dupraz, E., Aissa-El-Bey, A., & Leduc-Primeau, F. (2021, June). Improving the energy-efficiency of a Kalman filter using unreliable memories [Paper]. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Ont.. External link
Leduc-Primeau, F., Hemati, S., Gaudet, V. C., & Gross, W. J. (2019). Stochastic Decoding of Error-Correcting Codes. In Gross, W. J., & Gaudet, V. C. (eds.), Stochastic Computing: Techniques and Applications (pp. 201-215). External link
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. External link
Leduc-Primeau, F. (2016). Designing energy-efficient systems by exploiting error-correction codes [Ph.D. Thesis, McGill University]. External link
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. External link
Leduc-Primeau, F., & Gross, W. J. (2016, September). Finite-length quasi-synchronous LDPC decoders [Paper]. 9th International Symposium on Turbo Codes and Iterative Information Processing (ISTC 2016), Brest, France. External link
Leduc-Primeau, F., Kschischang, F. R., & Gross, W. J. (2015, June). Energy optimization of LDPC decoder circuits with timing violations [Paper]. IEEE International Conference on Communications (ICC 2015), London, UK. External link
Leduc-Primeau, F., Gaudet, V. C., & Gross, W. J. (2015). Stochastic Decoders for LDPC Codes. In Chavet, C., & Coussy, P. (eds.), Advanced Hardware Design for Error Correcting Codes (pp. 105-128). External link
Leduc-Primeau, F., Gripon, V., Rabbat, M. G., & Gross, W. J. (2014, May). Cluster-based associative memories built from unreliable storage [Paper]. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), Florence, Italy. External link
Leduc-Primeau, F., Hemati, S., Mannor, S., & Gross, W. J. (2013). Relaxed Half-Stochastic Belief Propagation. IEEE Transactions on Communications, 61(5), 1648-1659. External link
Leduc-Primeau, F., Hemati, S., Mannor, S., & Gross, W. J. (2012). Dithered Belief Propagation Decoding. IEEE Transactions on Communications, 60(8), 2042-2047. External link
Leduc-Primeau, F., & Gross, W. J. (2012, October). Faulty Gallager-B decoding with optimal message repetition [Paper]. 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton 2012), Monticello, IL. External link
Leduc-Primeau, F., Raymond, A. J., Giard, P., Cushon, K., Thibeault, C., & Gross, W. J. (2012, October). High-throughput LDPC decoding using the RHS algorithm [Paper]. Conference on Design and Architectures for Signal and Image Processing, Karlsruhe, Germany (6 pages). External link
Leduc-Primeau, F., Hemati, S., Mannor, S., & Gross, W. J. (2010, December). Lowering Error Floors Using Dithered Belief Propagation [Paper]. IEEE Global Telecommunications Conference (GLOBECOM 2010), Miami, FL. External link
Leduc-Primeau, F. (2010). A relaxed half-stochastic decoding algorithm for LDPC codes [Master's Thesis, McGill University]. External link
Leduc-Primeau, F., Hemati, S., Gross, W. J., & Mannor, S. (2009, November). A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes [Paper]. IEEE Global Telecommunications Conference (GLOBECOM 2009), Honolulu, HI (6 pages). External link
Nadal, J., Yaoumi, M., Dupraz, E., Guilloud, F., & Leduc-Primeau, F. (2023, September). Energy Optimization of Faulty Quantized Min-Sum LDPC Decoders [Paper]. 12th International Symposium on Topics in Coding (ISTC 2023), Brest, France (5 pages). External link
Nadal, J., Brown, S., Dupraz, E., & Leduc-Primeau, F. (2021, August). Towards an Accurate High-Level Energy Model for LDPC Decoders [Paper]. 11th International Symposium on Topics in Coding (ISTC 2021), Montréal, QC, Canada (6 pages). External link
Nadal, J., Fiorentino, M., Dupraz, E., & Leduc-Primeau, F. (2020, June). A Deeply Pipelined, Highly Parallel and Flexible LDPC Decoder [Paper]. 18th IEEE International New Circuits and Systems Conference (NEWCAS 2020), Montréal, QC, Canada. External link
Nadal, J., Leduc-Primeau, F., Nour, C. A., & Baghdadi, A. (2020). Overlap-Save FBMC Receivers. IEEE Transactions on Wireless Communications, 19(8), 5307-5320. External link
Nadal, J., Leduc-Primeau, F., Nour, C. A., & Baghdadi, A. (2018, May). A Block FBMC Receiver Designed for Short Filters [Paper]. IEEE International Conference on Communications (ICC 2018), Kansas City, MO, USA (6 pages). External link
Vialatte, J.-C., & Leduc-Primeau, F. (2017, February). A Study of Deep Learning Robustness Against Computation Failures [Paper]. 9th International Conference on Advanced Cognitive Technologies and Applications, Athens, Greece. External link
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]. External link
Yaoumi, M., Leduc-Primeau, F., Dupraz, E., & Guilloud, F. (2019, August). Optimization of protograph LDPC codes based on high-level energy models [Paper]. 16th International Symposium on Wireless Communication Systems, (ISWCS 2019), Oulu, Finland. External link
Zhang, Y., Savaria, Y., Zhao, S., Mordido, G., Sawan, M., & Leduc-Primeau, F. (2022, July). Tiny CNN for Seizure Prediction in Wearable Biomedical Devices [Paper]. 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2022), Glasgow, United Kingdom. External link
Zarif, N. E., Montazeri, L., Leduc-Primeau, F., & Sawan, M. (2021). Mobile-Optimized Facial Expression Recognition Techniques. IEEE Access, 9, 101172-101185. External link
