Monter d'un niveau |
Ahmadi, M. (2020). Energy-Efficient, Flexible and Fast Architectures for Deep Convolutional Neural Network Acceleration [Thèse de doctorat, Polytechnique Montréal]. Disponible
Ahmadi, M., Vakili, S., & Langlois, J. M. P. (juin 2020). An energy-efficient accelerator architecture with serial accumulation dataflow for deep CNNs [Communication écrite]. 18th IEEE International New Circuits and Systems Conference (NEWCAS 2020), Montréal, Québec. Lien externe
Ahmadi, M., Vakili, S., & Langlois, J. M. P. (juin 2020). Heterogeneous distributed SRAM configuration for energy-efficient deep CNN accelerators [Communication écrite]. 18th IEEE International New Circuits and Systems Conference (NEWCAS 2020), Montréal, Québec. Lien externe