SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference

Jude Haris, Perry Gibson, José Cano 0001, Nicolas Bohm Agostini, David R. Kaeli. SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. In 33rd IEEE International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2021, Belo Horizonte, Brazil, October 26-29, 2021. pages 33-43, IEEE, 2021. [doi]

@inproceedings{HarisGCAK21,
  title = {SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference},
  author = {Jude Haris and Perry Gibson and José Cano 0001 and Nicolas Bohm Agostini and David R. Kaeli},
  year = {2021},
  doi = {10.1109/SBAC-PAD53543.2021.00015},
  url = {https://doi.org/10.1109/SBAC-PAD53543.2021.00015},
  researchr = {https://researchr.org/publication/HarisGCAK21},
  cites = {0},
  citedby = {0},
  pages = {33-43},
  booktitle = {33rd IEEE International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2021, Belo Horizonte, Brazil, October 26-29, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-4301-2},
}