Code for Variation-Aware RRAM Array Simulations

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Abstract/Contents

Abstract

The code resulting from [1] is provided for full-array Monte Carlo modeling and simulations RRAM arrays, using modular Perl-based SPICE netlist generators. Running and customizing the Perl scripts would produce SPICE decks for full-array HSPICE simulations, incorporating both device-to-device and cycle-to-cycle RRAM variations to analyze the device-circuit interplay.

[1] H. Li, P. Huang, B. Gao, X. Liu, J. Kang, and H.-S. P. Wong, “Device and circuit interaction analysis of stochastic behaviors in cross-point RRAM arrays,” IEEE Trans. Electron Devices, vol. 64, no. 12, pp. 4928-4936, Dec. 2017.

Description

Type of resource software, multimedia, text
Date modified May 30, 2022; May 30, 2022; December 5, 2022
Publication date May 30, 2022; January 1, 2018

Creators/Contributors

Author Li, Haitong
Thesis advisor Wong, H.-S. Philip

Subjects

Subject Code generators
Subject Nonvolatile random-access memory
Subject RRAM
Genre Software/code
Genre Code
Genre Computer program

Bibliographic information

Related item
DOI https://doi.org/10.25740/zc471db6364
Location https://purl.stanford.edu/zc471db6364

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Use and reproduction
User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License
This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).

Preferred citation

Preferred citation
Haitong Li and H.-S. Philip Wong (2022). Code for Variation-Aware RRAM Array Simulations. Stanford Digital Repository. Available at https://purl.stanford.edu/zc471db6364

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