An Efficient Racetrack Memory-Based Processing-in-Memory Architecture for Convolutional Neural Networks

Bicheng Liu, Shouzhen Gu, Mingsong Chen, Wang Kang, Jingtong Hu, Qingfeng Zhuge, Edwin Hsing-Mean Sha. An Efficient Racetrack Memory-Based Processing-in-Memory Architecture for Convolutional Neural Networks. In 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), Guangzhou, China, December 12-15, 2017. pages 383-390, IEEE, 2017. [doi]

@inproceedings{LiuGCKHZS17,
  title = {An Efficient Racetrack Memory-Based Processing-in-Memory Architecture for Convolutional Neural Networks},
  author = {Bicheng Liu and Shouzhen Gu and Mingsong Chen and Wang Kang and Jingtong Hu and Qingfeng Zhuge and Edwin Hsing-Mean Sha},
  year = {2017},
  doi = {10.1109/ISPA/IUCC.2017.00061},
  url = {http://doi.ieeecomputersociety.org/10.1109/ISPA/IUCC.2017.00061},
  researchr = {https://researchr.org/publication/LiuGCKHZS17},
  cites = {0},
  citedby = {0},
  pages = {383-390},
  booktitle = {2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), Guangzhou, China, December 12-15, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-3790-6},
}