211 citations · 530 across the 27 of their papers we have counts for
3 papers · 1 filter
OpenSpike: An OpenRAM SNN Accelerator
Farhad Modaresi, Matthew Guthaus, Jason K. Eshraghian
This paper presents a spiking neural network (SNN) accelerator made using fully open-source EDA tools, process design kit (PDK), and memory macros synthesized using OpenRAM. The ch…
CrossStack: A 3-D Reconfigurable RRAM Crossbar Inference Engine
Jason K. Eshraghian, Kyoungrok Cho, Sung Mo Kang
Deep neural network inference accelerators are rapidly growing in importance as we turn to massively parallelized processing beyond GPUs and ASICs. The dominant operation in feedfo…
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications
Mostafa Rahimi Azghadi, Corey Lammie, Jason K. Eshraghian +4
The advent of dedicated Deep Learning (DL) accelerators and neuromorphic processors has brought on new opportunities for applying both Deep and Spiking Neural Network (SNN) algorit…