Training Deep Neural Networks with Low Precision Input Data: A Hurricane Prediction Case Study

Albert Kahira, Leonardo Bautista-Gomez, Rosa M. Badia. Training Deep Neural Networks with Low Precision Input Data: A Hurricane Prediction Case Study. In Rio Yokota, Michèle Weiland, John Shalf, Sadaf R. Alam, editors, High Performance Computing - ISC High Performance 2018 International Workshops, Frankfurt/Main, Germany, June 28, 2018, Revised Selected Papers. Volume 11203 of Lecture Notes in Computer Science, pages 562-569, Springer, 2018. [doi]

@inproceedings{KahiraBB18,
  title = {Training Deep Neural Networks with Low Precision Input Data: A Hurricane Prediction Case Study},
  author = {Albert Kahira and Leonardo Bautista-Gomez and Rosa M. Badia},
  year = {2018},
  doi = {10.1007/978-3-030-02465-9_40},
  url = {https://doi.org/10.1007/978-3-030-02465-9_40},
  researchr = {https://researchr.org/publication/KahiraBB18},
  cites = {0},
  citedby = {0},
  pages = {562-569},
  booktitle = {High Performance Computing - ISC High Performance 2018 International Workshops, Frankfurt/Main, Germany, June 28, 2018, Revised Selected Papers},
  editor = {Rio Yokota and Michèle Weiland and John Shalf and Sadaf R. Alam},
  volume = {11203},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-02465-9},
}