SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers

This repository provides the source codes of the SwiftTron hardware design for Quantized Transformers. If you used these results in your research, please refer to the paper

A. Marchisio, D. Dura, M. Capra, M. Martina, G. Masera and M. Shafique, "SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers," 2023 International Joint Conference on Neural Networks (IJCNN), Queensland, Australia, June 2023.

@INPROCEEDINGS{Marchisio2023SwiftTron,
  author={A. {Marchisio} and D. {Dura} and M. {Capra} and M. {Martina} and G. {Masera} and M. {Shafique}},
  booktitle={2023 International Joint Conference on Neural Networks (IJCNN)}, 
  title={SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers}, 
  year={2023},
  volume={},
  number={},
  pages={}}