Exploring Software Models for the Resilience Analysis of Deep Learning Accelerators: the NVDLA Case Study

Alessandro Veronesi, Francesco Dall'Occo, Davide Bertozzi, Michele Favalli, Milos Krstic. Exploring Software Models for the Resilience Analysis of Deep Learning Accelerators: the NVDLA Case Study. In 25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, DDECS 2022, Prague, Czech Republic, April 6-8, 2022. pages 142-147, IEEE, 2022. [doi]

@inproceedings{VeronesiDBFK22,
  title = {Exploring Software Models for the Resilience Analysis of Deep Learning Accelerators: the NVDLA Case Study},
  author = {Alessandro Veronesi and Francesco Dall'Occo and Davide Bertozzi and Michele Favalli and Milos Krstic},
  year = {2022},
  doi = {10.1109/DDECS54261.2022.9770169},
  url = {https://doi.org/10.1109/DDECS54261.2022.9770169},
  researchr = {https://researchr.org/publication/VeronesiDBFK22},
  cites = {0},
  citedby = {0},
  pages = {142-147},
  booktitle = {25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, DDECS 2022, Prague, Czech Republic, April 6-8, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-9431-1},
}