Designing and evaluating new instructions that accelerate sigmoid-based machine learning

Lucas M. Dutton, Curtis D'Alves, Wolfram Kahl, Robert F. Enenkel, Christopher Kumar Anand. Designing and evaluating new instructions that accelerate sigmoid-based machine learning. In Lily Shaddick, Guy-Vincent Jourdan, Vio Onut, Tinny Ng, editors, CASCON '20: Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 10 - 13, 2020. pages 189-197, ACM, 2020. [doi]

@inproceedings{DuttonDKEA20,
  title = {Designing and evaluating new instructions that accelerate sigmoid-based machine learning},
  author = {Lucas M. Dutton and Curtis D'Alves and Wolfram Kahl and Robert F. Enenkel and Christopher Kumar Anand},
  year = {2020},
  url = {https://dl.acm.org/doi/10.5555/3432601.3432626},
  researchr = {https://researchr.org/publication/DuttonDKEA20},
  cites = {0},
  citedby = {0},
  pages = {189-197},
  booktitle = {CASCON '20: Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 10 - 13, 2020},
  editor = {Lily Shaddick and Guy-Vincent Jourdan and Vio Onut and Tinny Ng},
  publisher = {ACM},
}