MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation

Lillian Pentecost, Marco Donato, Brandon Reagen, Udit Gupta, Siming Ma, Gu-Yeon Wei, David Brooks 0001. MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation. In Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2019, Columbus, OH, USA, October 12-16, 2019. pages 769-781, ACM, 2019. [doi]

@inproceedings{PentecostDRGMW019,
  title = {MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation},
  author = {Lillian Pentecost and Marco Donato and Brandon Reagen and Udit Gupta and Siming Ma and Gu-Yeon Wei and David Brooks 0001},
  year = {2019},
  doi = {10.1145/3352460.3358258},
  url = {https://doi.org/10.1145/3352460.3358258},
  researchr = {https://researchr.org/publication/PentecostDRGMW019},
  cites = {0},
  citedby = {0},
  pages = {769-781},
  booktitle = {Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2019, Columbus, OH, USA, October 12-16, 2019},
  publisher = {ACM},
  isbn = {978-1-4503-6938-1},
}