Sparse and Robust RRAM-based Efficient In-memory Computing for DNN Inference

被引:0
作者
Meng, Jian [1 ]
Yeo, Injune [1 ]
Yang, Li [1 ]
Fan, Deliang [1 ]
Seo, Jae-sun [1 ]
Yu, Shimeng [2 ]
Shim, Wonbo [2 ,3 ]
机构
[1] Arizona State Univ, Tempe, AZ 85287 USA
[2] Georgia Inst Technol, Atlanta, GA 30332 USA
[3] Seoul Natl Univ Sci & Technol, Seoul, South Korea
来源
2022 IEEE INTERNATIONAL RELIABILITY PHYSICS SYMPOSIUM (IRPS) | 2022年
关键词
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
3C.1
引用
收藏
页数:1
相关论文
共 50 条
[41]   HDC-IM: Hyperdimensional Computing In-Memory Architecture based on RRAM [J].
Liu, Jialong ;
Ma, Mingyuan ;
Zhu, Zhenhua ;
Wang, Yu ;
Yang, Huazhong .
2019 26TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS (ICECS), 2019, :450-453
[42]   Efficient and Robust RRAM-Based Convolutional Weight Mapping With Shifted and Duplicated Kernel [J].
Zhang, Yuhang ;
He, Guanghui ;
Wang, Guoxing ;
Li, Yongfu .
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 40 (02) :287-300
[43]   Monolithically Integrated RRAM- and CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning [J].
Yin, Shihui ;
Kim, Yulhwa ;
Han, Xu ;
Barnaby, Hugh ;
Yu, Shimeng ;
Luo, Yandong ;
He, Wangxin ;
Sun, Xiaoyu ;
Kim, Jae-Joon ;
Seo, Jae-sun .
IEEE MICRO, 2019, 39 (06) :54-63
[44]   An isolated symmetrical 2T2R cell enabling high precision and high density for RRAM-based in-memory computing [J].
Ling, Yaotian ;
Wang, Zongwei ;
Yang, Yuhang ;
Bao, Lin ;
Bao, Shengyu ;
Wang, Qishen ;
Cai, Yimao ;
Huang, Ru .
SCIENCE CHINA-INFORMATION SCIENCES, 2024, 67 (05)
[45]   In-Memory Computing Architectures for Sparse Distributed Memory [J].
Kang, Mingu ;
Shanbhag, Naresh R. .
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2016, 10 (04) :855-863
[46]   Experimental demonstration of Single-Level and Multi-Level-Cell RRAM-based In-Memory Computing with up to 16 parallel operations [J].
Esmanhotto, E. ;
Hirtzlin, T. ;
Castellani, N. ;
Martin, S. ;
Giraud, B. ;
Andrieu, F. ;
Nodin, J. F. ;
Querlioz, D. ;
Portal, J-M. ;
Vianello, E. .
2022 IEEE INTERNATIONAL RELIABILITY PHYSICS SYMPOSIUM (IRPS), 2022,
[47]   An isolated symmetrical 2T2R cell enabling high precision and high density for RRAM-based in-memory computing [J].
Yaotian LING ;
Zongwei WANG ;
Yuhang YANG ;
Lin BAO ;
Shengyu BAO ;
Qishen WANG ;
Yimao CAI ;
Ru HUANG .
ScienceChina(InformationSciences), 2024, 67 (05) :287-294
[48]   Structured Pruning of RRAM Crossbars for Efficient In-Memory Computing Acceleration of Deep Neural Networks [J].
Meng, Jian ;
Yang, Li ;
Peng, Xiaochen ;
Yu, Shimeng ;
Fan, Deliang ;
Seo, Jae-Sun .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2021, 68 (05) :1576-1580
[49]   A Coordinated Model Pruning and Mapping Framework for RRAM-Based DNN Accelerators [J].
Qu, Songyun ;
Li, Bing ;
Zhao, Shixin ;
Zhang, Lei ;
Wang, Ying .
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 42 (07) :2364-2376
[50]   One-Transistor-Multiple-RRAM Cells for Energy-Efficient In-Memory Computing [J].
Uhlmann, Max ;
Quesada, Emilio Perez-Bosch ;
Fritscher, Markus ;
Perez, Eduardo ;
Schubert, Markus Andreas ;
Reichenbach, Marc ;
Ostrovskyy, Philip ;
Wenger, Christian ;
Kahmen, Gerhard .
2023 21ST IEEE INTERREGIONAL NEWCAS CONFERENCE, NEWCAS, 2023,