DTS: A Simulator to Estimate the Training Time of Distributed Deep Neural Networks

Wilfredo J. Robinson M., Flavio Esposito, Maria A. Zuluaga. DTS: A Simulator to Estimate the Training Time of Distributed Deep Neural Networks. In 30th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2022, Nice, France, October 18-20, 2022. pages 17-24, IEEE, 2022. [doi]

@inproceedings{MEZ22,
  title = {DTS: A Simulator to Estimate the Training Time of Distributed Deep Neural Networks},
  author = {Wilfredo J. Robinson M. and Flavio Esposito and Maria A. Zuluaga},
  year = {2022},
  doi = {10.1109/MASCOTS56607.2022.00011},
  url = {https://doi.org/10.1109/MASCOTS56607.2022.00011},
  researchr = {https://researchr.org/publication/MEZ22},
  cites = {0},
  citedby = {0},
  pages = {17-24},
  booktitle = {30th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2022, Nice, France, October 18-20, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-5580-0},
}