NV-BNN: An Accurate Deep Convolutional Neural Network Based on Binary STT-MRAM for Adaptive AI Edge

Chih-Cheng Chang, Ming-Hung Wu, Jia-Wei Lin, Chun-Hsien Li, Vivek Parmar, Heng-Yuan Lee, Jeng-Hua Wei, Shyh-Shyuan Sheu, Manan Suri, Tian-Sheuan Chang, Tuo-Hung Hou. NV-BNN: An Accurate Deep Convolutional Neural Network Based on Binary STT-MRAM for Adaptive AI Edge. In Proceedings of the 56th Annual Design Automation Conference 2019, DAC 2019, Las Vegas, NV, USA, June 02-06, 2019. pages 30, ACM, 2019. [doi]

@inproceedings{ChangWLLPLWSSCH19,
  title = {NV-BNN: An Accurate Deep Convolutional Neural Network Based on Binary STT-MRAM for Adaptive AI Edge},
  author = {Chih-Cheng Chang and Ming-Hung Wu and Jia-Wei Lin and Chun-Hsien Li and Vivek Parmar and Heng-Yuan Lee and Jeng-Hua Wei and Shyh-Shyuan Sheu and Manan Suri and Tian-Sheuan Chang and Tuo-Hung Hou},
  year = {2019},
  doi = {10.1145/3316781.3317872},
  url = {https://doi.org/10.1145/3316781.3317872},
  researchr = {https://researchr.org/publication/ChangWLLPLWSSCH19},
  cites = {0},
  citedby = {0},
  pages = {30},
  booktitle = {Proceedings of the 56th Annual Design Automation Conference 2019, DAC 2019, Las Vegas, NV, USA, June 02-06, 2019},
  publisher = {ACM},
  isbn = {978-1-4503-6725-7},
}