Kern, J., Henwood, S., Torcato Mordido, G. F., 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.
Directory of Experts
Leduc-Primeau, François
Directory of Experts
Leduc-Primeau, François
Directory of Experts
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Journal article (21)
Conference paper (37)
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Book chapter (2)
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François Leduc-Primeau (64)
- 2024 (10)
Journal article Conference paper Rohman, S. T., & Leduc-Primeau, F. (2024, November). Fast Energy Optimization of On-Chip ECC Memories [Paper]. IEEE Workshop on Signal Processing Systems (SiPS 2024), Cambridge, MA, USA.Journal article El-Sayegh, B., Dumoulin, C., Leduc-Primeau, F., & Sawan, M. (2024). Improving pelvic floor muscle training with AI: a novel quality assessment system for pelvic floor dysfunction. Sensors, 24(21), 6937 (23 pages).
Journal article 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.Conference paper Henwood, S., Savaria, Y., & Leduc-Primeau, F. (2024, November). MemNAS: Super-net Neural Architecture Search for Memristor-based DNN Accelerators [Paper]. IEEE Workshop on Signal Processing Systems (SiPS 2024), Cambridge, MA, USA (6 pages).Conference paper Humblet, E., Dupuis, T., Fournier, Y., Askari Hemmat, M., Leduc-Primeau, F., David, J. P., & Savaria, Y. (2024, August). MSPARQ: A RISC-V Vector Processor Array Optimized for Low-Resolution Neural Networks [Paper]. IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS 2024), Springfield, MA, USA.Conference paper Mlika, Z., Do, T. N., Larabi, A., Vo, J. D., Frigon, J.-F., & Leduc-Primeau, F. (2024, October). Online energy-efficient beam bandwidth partitioning in mmwave mobile networks [Paper]. IEEE 100th Vehicular Technology Conference (VTC2024-Fall), Washington, DC, USA (6 pages).Conference paper 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.Conference paper Zhang, Y., Savaria, Y., Sawan, M., & Leduc-Primeau, F. (2024, June). S³ 1DCNN: A Compact Stacked Spectral-Spatial Attention 1DCNN for Seizure Prediction with Wearables [Paper]. 22nd IEEE Interregional NEWCAS Conference (NEWCAS 2024), Sherbrooke, QC, Canada.Conference paper Henwood, S., Torcato Mordido, G. F., Savaria, Y., Anbil Parthipan, S. C., & Leduc-Primeau, F. (2024, October). Sharpness-Aware Minimization Scaled by Outlier Normalization for Robust DNNs on In-Memory Computing Accelerators [Paper]. 58th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA.
- 2023 (5)
Conference paper 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).Conference paper 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).Conference paper Askari Hemmat, M., 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).Conference paper Dupuis, T., Fournier, Y., Askari Hemmat, M., El Zarif, N., 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).Journal article 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.
- 2022 (8)
Journal article 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.Conference paper 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.Conference paper Kern, J., Henwood, S., Torcato Mordido, G. F., 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.Journal article 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.Journal article 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.Conference paper 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.Journal article El-Sayegh, B., Cacciari, L. P., Leduc-Primeau, F., Sawan, M., & Dumoulin, C. (2022). The state of pelvic floor muscle dynamometry: A scoping review [Discussion or Letter]. Neurourology and Urodynamics, 42(2), 478-499.Conference paper Zhang, Y., Savaria, Y., Zhao, S., Torcato Mordido, G. F., 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.
- 2021 (6)
Conference paper 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..Journal article Zarif, N. E., Montazeri, L., Leduc-Primeau, F., & Sawan, M. (2021). Mobile-Optimized Facial Expression Recognition Techniques. IEEE Access, 9, 101172-101185.Journal article Dupraz, E., & Leduc-Primeau, F. (2021). Noisy density evolution with asymmetric deviation models. IEEE Transactions on Communications, 69(3), 1403-1416.Conference paper 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).Conference paper 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).Journal article 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.
- 2020 (5)
Conference paper 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.Journal article 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].Conference paper 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.Journal article Nadal, J., Leduc-Primeau, F., Nour, C. A., & Baghdadi, A. (2020). Overlap-Save FBMC Receivers. IEEE Transactions on Wireless Communications, 19(8), 5307-5320.Conference paper 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).
- 2019 (3)
Conference paper 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.Book chapter 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).Conference paper 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).
- 2018 (4)
Conference paper 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).Journal article 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.Conference paper 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.Journal article 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.
- 2017 (2)
Conference paper 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.Journal article 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.
- 2016 (8)
Journal article 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.Journal article 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.Thesis Leduc-Primeau, F. (2016). Designing energy-efficient systems by exploiting error-correction codes [Ph.D. Thesis, McGill University].Journal article 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.Conference paper 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.Conference paper 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.Conference paper 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..Conference paper 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.
- 2015 (3)
Conference paper 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.Book chapter 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).Conference paper 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).
- 2014 (3)
Conference paper 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.Patent Gross, W. J., Leduc-Primeau, F., Hemati, S., & Mannor, S. (2014). Method and system for decoding. (Patent no. US8898537).Patent Gross, W. J., Hemati, S., Mannor, S., Naderi, A., & Leduc-Primeau, F. (2014). Method and system for decoding. (Patent no. US8677227).
- 2013 (1)
Journal article Leduc-Primeau, F., Hemati, S., Mannor, S., & Gross, W. J. (2013). Relaxed Half-Stochastic Belief Propagation. IEEE Transactions on Communications, 61(5), 1648-1659.
- 2012 (3)
Journal article Leduc-Primeau, F., Hemati, S., Mannor, S., & Gross, W. J. (2012). Dithered Belief Propagation Decoding. IEEE Transactions on Communications, 60(8), 2042-2047.Conference paper 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.Conference paper 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).
- 2010 (2)
Thesis Leduc-Primeau, F. (2010). A relaxed half-stochastic decoding algorithm for LDPC codes [Master's Thesis, McGill University].Conference paper 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.
- 2009 (1)
Conference paper 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).
