Area-Efficient and Reliable Error Correcting Code Circuit Based on Hybrid CMOS/Memristor Circuit

被引:1
作者
Ishizaka, Mamoru [1 ]
Shintani, Michihiro [1 ]
Inoue, Michiko [1 ]
机构
[1] Nara Inst Sci & Technol NAIST, 8916-5 Takayama Cho, Nara 6300192, Japan
来源
JOURNAL OF ELECTRONIC TESTING-THEORY AND APPLICATIONS | 2020年 / 36卷 / 04期
关键词
Resistive random-access memory; Memristor; Crossbar array; Error-correcting code; Reliability; MEMRISTOR; NETWORK; DESIGN;
D O I
10.1007/s10836-020-05892-3
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Resistive random-access memory (ReRAM) has several attractive features such as high storage density and high switching frequency with low power consumption. It is hence regarded as the most promising nonvolatile memory material. However, a memristor, which is a primitive component of the ReRAM-based memory, has much lower write endurance. Hence, an error-correcting code (ECC) circuit is indispensable for realizing reliable ReRAM storage. Accordingly, we propose a hybrid CMOS/memristor-based ECC circuit. In the proposed circuit, the blocks with high-frequency write operations are implemented using the conventional CMOS technology and the other blocks are implemented using the memristors to maintain a balance between the area overhead and reliability. Through numerical experiments, we demonstrate that the proposed ECC circuit achieves smaller area and higher reliability than the full memristor-based ECC circuits and achieves much smaller area while preserving the reliability compared with the full CMOS-based ECC circuits.
引用
收藏
页码:537 / 546
页数:10
相关论文
共 30 条
  • [11] NVSim: A Circuit-Level Performance, Energy, and Area Model for Emerging Nonvolatile Memory
    Dong, Xiangyu
    Xu, Cong
    Xie, Yuan
    Jouppi, Norman P.
    [J]. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2012, 31 (07) : 994 - 1007
  • [12] Synopsys' Open Educational Design Kit: Capabilities, Deployment and Future
    Goldman, R.
    Bartleson, K.
    Wood, T.
    Kranen, K.
    Cao, C.
    Melikyan, V.
    Markosyan, G.
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON MICROELECTRONIC SYSTEMS EDUCATION, 2009, : 20 - +
  • [13] Cell-to-Cell Fundamental Variability Limits Investigation in OxRRAM Arrays
    Grossi, Alessandro
    Zambelli, Cristian
    Olivo, Piero
    Nowak, Etienne
    Molas, Gabriel
    Nodin, Jean Francois
    Perniola, Luca
    [J]. IEEE ELECTRON DEVICE LETTERS, 2018, 39 (01) : 27 - 30
  • [14] Real-time encoding and compression of neuronal spikes by metal-oxide memristors
    Gupta, Isha
    Serb, Alexantrou
    Khiat, Ali
    Zeitler, Ralf
    Vassanelli, Stefano
    Prodromakis, Themistoklis
    [J]. NATURE COMMUNICATIONS, 2016, 7
  • [15] Ishizaka M, 2018, ASIAN TEST SYMPOSIUM, P167, DOI 10.1109/ATS.2018.00040
  • [16] Kumar UK, 2007, 2007 2ND INTERNATIONAL SYMPOSIUM ON WIRELESS PERVASIVE COMPUTING, VOLS 1 AND 2, P498
  • [17] Memristor-Based Material Implication (IMPLY) Logic: Design Principles and Methodologies
    Kvatinsky, Shahar
    Satat, Guy
    Wald, Nimrod
    Friedman, Eby G.
    Kolodny, Avinoam
    Weiser, Uri C.
    [J]. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2014, 22 (10) : 2054 - 2066
  • [18] Fault Tolerance in Neuromorphic Computing Systems
    Liu, Mengyun
    Xia, Lixue
    Wang, Yu
    Chakrabarty, Krishnendu
    [J]. 24TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC 2019), 2019, : 216 - 223
  • [19] A million spiking-neuron integrated circuit with a scalable communication network and interface
    Merolla, Paul A.
    Arthur, John V.
    Alvarez-Icaza, Rodrigo
    Cassidy, Andrew S.
    Sawada, Jun
    Akopyan, Filipp
    Jackson, Bryan L.
    Imam, Nabil
    Guo, Chen
    Nakamura, Yutaka
    Brezzo, Bernard
    Vo, Ivan
    Esser, Steven K.
    Appuswamy, Rathinakumar
    Taba, Brian
    Amir, Arnon
    Flickner, Myron D.
    Risk, William P.
    Manohar, Rajit
    Modha, Dharmendra S.
    [J]. SCIENCE, 2014, 345 (6197) : 668 - 673
  • [20] Messaris I, 2017, IEEE INT SYMP CIRC S, P2002