Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks

Yu-Hsin Chen, Joel S. Emer, Vivienne Sze. Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks. In 43rd ACM/IEEE Annual International Symposium on Computer Architecture, ISCA 2016, Seoul, South Korea, June 18-22, 2016. pages 367-379, IEEE, 2016. [doi]

@inproceedings{ChenES16-0,
  title = {Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks},
  author = {Yu-Hsin Chen and Joel S. Emer and Vivienne Sze},
  year = {2016},
  doi = {10.1109/ISCA.2016.40},
  url = {http://doi.ieeecomputersociety.org/10.1109/ISCA.2016.40},
  researchr = {https://researchr.org/publication/ChenES16-0},
  cites = {0},
  citedby = {0},
  pages = {367-379},
  booktitle = {43rd ACM/IEEE Annual International Symposium on Computer Architecture, ISCA 2016, Seoul, South Korea, June 18-22, 2016},
  publisher = {IEEE},
  isbn = {978-1-4673-8947-1},
}