Customizing fixed-point and floating-point arithmetic - A case study in K-means clustering

Benjamin Barrois, Olivier Sentieys. Customizing fixed-point and floating-point arithmetic - A case study in K-means clustering. In 2017 IEEE International Workshop on Signal Processing Systems, SiPS 2017, Lorient, France, October 3-5, 2017. pages 1-6, IEEE, 2017. [doi]

@inproceedings{BarroisS17,
  title = {Customizing fixed-point and floating-point arithmetic - A case study in K-means clustering},
  author = {Benjamin Barrois and Olivier Sentieys},
  year = {2017},
  doi = {10.1109/SiPS.2017.8109980},
  url = {https://doi.org/10.1109/SiPS.2017.8109980},
  researchr = {https://researchr.org/publication/BarroisS17},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {2017 IEEE International Workshop on Signal Processing Systems, SiPS 2017, Lorient, France, October 3-5, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-0446-5},
}