3 papers
cs.AR2026
ReSCom: A Reconfigurable Spiking Neural Network Accelerator Using Stochastic Computing
Ali Alipour Fereidani, Mohammad Rasoul Roshanshah, Saeed Safari
Spiking Neural Networks (SNNs) provide an attractive framework for energy-efficient inference due to their event-driven computation and biologically inspired dynamics. However, eff…
cs.AR2026
SupraSNN: Exploiting Synapse-Level Parallelism in Spiking Neural Network Accelerators through Co-Optimized Mapping and Scheduling
Seyed Sadra Ghavami, Mohammad Hossein Nikkhah, Mohammad Rasoul Roshanshah +1
Spiking Neural Networks (SNNs) offer a brain-inspired path toward highly efficient computation, but their practical deployment is constrained by the challenge of managing and execu…
cs.AR2026
Flexi-NeurA: A Flexible Neuromorphic Accelerator with Adaptive Bit-Precision Exploration for Edge Devices
Mohammad Farahani, Mohammad Rasoul Roshanshah, Saeed Safari
Neuromorphic accelerators promise unparalleled energy efficiency and computational density for spiking neural networks, especially in wearable biomedical devices and neural prosthe…