@inproceedings{d4ece428765c4413be89b14777f4c9da,
title = "A skyrmion racetrack memory based computing in-memory architecture for binary neural convolutional network",
abstract = "A Skyrmion Racetrack Memory (SRM) based Computing In-Memory Architecture (SRM-CIM) was proposed in this paper. Both data and computing operation can be achieved in SRM-CIM. SRM-CIM is used to support convolutional computing in Binary Convolutional Neural Network (BCNN). Experimental results show that SRM-CIM achieves 98.7\% and 82\% energy reduction when compared with RRAM and SOT-MRAM based counterparts.",
keywords = "Bcnn, Computing in memory, Low power, Skyrmion",
author = "Yu Pan and Peng Ouyang and Yinglin Zhao and Shouyi Yin and Youguang Zhang and Shaojun Wei and Weisheng Zhao",
note = "Publisher Copyright: {\textcopyright} 2019 ACM.; 29th Great Lakes Symposium on VLSI, GLSVLSI 2019 ; Conference date: 09-05-2019 Through 11-05-2019",
year = "2019",
month = may,
day = "13",
doi = "10.1145/3299874.3318015",
language = "英语",
series = "Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI",
publisher = "Association for Computing Machinery ",
pages = "271--274",
booktitle = "GLSVLSI 2019 - Proceedings of the 2019 Great Lakes Symposium on VLSI",
address = "美国",
}