TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training

Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim. TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training. In Proceedings of the International Symposium on Low Power Electronics and Design, ISLPED 2018, Seattle, WA, USA, July 23-25, 2018. ACM, 2018. [doi]

@inproceedings{ChoiSKK18,
  title = {TrainWare: A Memory Optimized Weight Update Architecture for On-Device Convolutional Neural Network Training},
  author = {Seungkyu Choi and Jaehyeong Sim and Myeonggu Kang and Lee-Sup Kim},
  year = {2018},
  doi = {10.1145/3218603.3218625},
  url = {https://doi.org/10.1145/3218603.3218625},
  researchr = {https://researchr.org/publication/ChoiSKK18},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the International Symposium on Low Power Electronics and Design, ISLPED 2018, Seattle, WA, USA, July 23-25, 2018},
  publisher = {ACM},
  isbn = {978-1-4503-5704-3},
}