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Askarihemmat, M., Wagner, S., Bilaniuk, O., Hariri, Y., Savaria, Y., & David, J. P. (janvier 2023). BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU [Communication écrite]. 28th Asia and South Pacific Design Automation Conference (ASP-DAC 2023), Tokyo, Japan. Lien externe
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
Chiu, T.-Y., Le Ny, J., & David, J. P. (2023). Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search. Artificial Intelligence, 318, 21 pages. Lien externe
Dufour, J., Savaria, Y., & David, J. P. Low-Energy, Scalable, On-demand State-of-charge Estimation System for Li-ion batteries [Communication écrite]. 2023 21st IEEE Interregional NEWCAS Conference (NEWCAS 2023), Edinburgh, United Kingdom (5 pages). Lien externe
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
Ebrahimi, A., Pullu, V. N., Langlois, J. M. P., & David, J. P. Iterative pruning algorithm for efficient look-up table implementation of binary neural networks [Communication écrite]. 2023 21st IEEE Interregional NEWCAS Conference (NEWCAS 2023), Edinburgh, United Kingdom (5 pages). Lien externe
Elbediwy, M., Pontikakis, B., David, J. P., & Savaria, Y. (2023). A Hardware Architecture of a Dynamic Ranking Packet Scheduler for Programmable Network Devices. IEEE Access, 11, 61422-61436. Disponible
Hajizadeh, F., Alavoine, L., Ould-Bachir, T., Sirois, F., & David, J. P. (août 2023). FPGA-based FDNE models for the accurate real-time simulation of power systems in aircraft [Communication écrite]. 12th International Conference on Renewable Energy Research and Application, Oshawa, ON, Canada (5 pages). Lien externe
