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
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
  • [21] An RRAM-Based Computing-in-Memory Architecture and Its Application in Accelerating Transformer Inference
    Lu, Zhaojun
    Wang, Xueyan
    Arafin, Md Tanvir
    Yang, Haoxiang
    Liu, Zhenglin
    Zhang, Jiliang
    Qu, Gang
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2024, 32 (03) : 485 - 496
  • [22] Experimental Assessment of Multilevel RRAM-Based Vector-Matrix Multiplication Operations for In-Memory Computing
    Quesada, Emilio Perez-Bosch
    Mahadevaiah, Mamathamba Kalishettyhalli
    Rizzi, Tommaso
    Wen, Jianan
    Ulbricht, Markus
    Krstic, Milos
    Wenger, Christian
    Perez, Eduardo
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2023, 70 (04) : 2009 - 2014
  • [23] 2-Bit-Per-Cell RRAM-Based In-Memory Computing for Area-/Energy-Efficient Deep Learning
    He, Wangxin
    Yin, Shihui
    Kim, Yulhwa
    Sun, Xiaoyu
    Kim, Jae-Joon
    Yu, Shimeng
    Seo, Jae-Sun
    IEEE SOLID-STATE CIRCUITS LETTERS, 2020, 3 : 194 - 197
  • [24] MINT: Mixed-precision RRAM-based IN-memory Training Architecture
    Jiang, Hongwu
    Huang, Shanshi
    Peng, Xiaochen
    Yu, Shimeng
    2020 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2020,
  • [25] Characterization and Mitigation of IR-Drop in RRAM-based Compute In-Memory
    Crafton, Brian
    Talley, Connor
    Spetalnick, Samuel
    Yoon, Jong-Hyeok
    Raychowdhury, Arijit
    2022 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 22), 2022, : 70 - 74
  • [26] A Voltage-Mode Sensing Scheme with Differential-Row Weight Mapping For Energy-Efficient RRAM-Based In-Memory Computing
    Wan, Weier
    Kubendran, Rajkumar
    Gao, Bin
    Joshi, Siddharth
    Raina, Priyanka
    Wu, Huaqiang
    Cauwenberghs, Gert
    Wong, H. S. Philip
    2020 IEEE SYMPOSIUM ON VLSI TECHNOLOGY, 2020,
  • [27] Evaluation of Radiation Effects in RRAM-Based Neuromorphic Computing System for Inference
    Ye, Zhilu
    Liu, Rui
    Taggart, Jennifer L.
    Barnaby, Hugh J.
    Yu, Shimeng
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2019, 66 (01) : 97 - 103
  • [28] Unlocking Wordline-level Parallelism for Fast Inference on RRAM-based DNN Accelerator
    Park, Yeonhong
    Lee, Seung Yul
    Shin, Hoon
    Heo, Jun
    Ham, Tae Jun
    Lee, Jae W.
    2020 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED-DESIGN (ICCAD), 2020,
  • [29] A RRAM-based FPGA for Energy-efficient Edge Computing
    Tang, Xifan
    Giacomin, Edouard
    Cadareanu, Patsy
    Gore, Ganesh
    Gaillardon, Pierre-Emmanuel
    PROCEEDINGS OF THE 2020 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2020), 2020,
  • [30] RRAM-Based Analog Approximate Computing
    Li, Boxun
    Gu, Peng
    Shan, Yi
    Wang, Yu
    Chen, Yiran
    Yang, Huazhong
    IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2015, 34 (12) : 1905 - 1917