Read margin analysis of crossbar arrays using the cell-variability-aware simulation method

Wookyung Sun, Sujin Choi, Hyungsoon Shin

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


This paper proposes a new concept of read margin analysis of crossbar arrays using cell-variability-aware simulation. The size of the crossbar array should be considered to predict the read margin characteristic of the crossbar array because the read margin depends on the number of word lines and bit lines. However, an excessively high-CPU time is required to simulate large arrays using a commercial circuit simulator. A variability-aware MATLAB simulator that considers independent variability sources is developed to analyze the characteristics of the read margin according to the array size. The developed MATLAB simulator provides an effective method for reducing the simulation time while maintaining the accuracy of the read margin estimation in the crossbar array. The simulation is also highly efficient in analyzing the characteristic of the crossbar memory array considering the statistical variations in the cell characteristics.

Original languageEnglish
Pages (from-to)55-58
Number of pages4
JournalSolid-State Electronics
StatePublished - Feb 2018

Bibliographical note

Funding Information:
This work was supported by the Ewha Womans University Support Program for the Research Professors for 2016; and the Basic Science Research Program through the National Research Foundation of Korea (NRF), which was funded by the Ministry of Education, Science and Technology [grant number 2017R1A2B4002540 ].

Publisher Copyright:
© 2017 Elsevier Ltd


  • Crossbar array
  • RRAM
  • Read margin


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