FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks with Efficient DSP and Memory Optimization
This repository contains the source code for the paper "FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks with Efficient DSP and Memory Optimization" published in the IEEE Transactions on Very Large Scale Integration (VLSI) Systems. The paper is available here.
If you find this work useful, please cite our paper:
@article{li2023firefly,
title={FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization},
author={Li, Jindong and Shen, Guobin and Zhao, Dongcheng and Zhang, Qian and Zeng, Yi},
journal={IEEE Transactions on Very Large Scale Integration (VLSI) Systems},
year={2023},
publisher={IEEE}
}