Code for Variation-Aware RRAM Array Simulations
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 |
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Date modified | May 30, 2022; May 30, 2022; December 5, 2022 |
Publication date | May 30, 2022; January 1, 2018 |
Creators/Contributors
Author | Li, Haitong |
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Thesis advisor | Wong, H.-S. Philip |
Subjects
Subject | Code generators |
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Subject | Nonvolatile random-access memory |
Subject | RRAM |
Genre | Software/code |
Genre | Code |
Genre | Computer program |
Bibliographic information
Related item |
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DOI | https://doi.org/10.25740/zc471db6364 |
Location | https://purl.stanford.edu/zc471db6364 |
Access conditions
- 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
Collection
Stanford Research Data
View other items in this collection in SearchWorksContact information
- Contact
- lihaitong.pku@gmail.com
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