Publication detail

Memristor Models for SPICE Simulation of Extremely Large Memristive Networks

BIOLEK, D. KOLKA, Z. BIOLKOVÁ, V. BIOLEK, Z.

Original Title

Memristor Models for SPICE Simulation of Extremely Large Memristive Networks

English Title

Memristor Models for SPICE Simulation of Extremely Large Memristive Networks

Type

conference paper

Language

en

Original Abstract

In order to avoid non-convergence and other numerical problems associated with the simulation of extremely large memristive networks, suitable models of the individual memristors need to be developed. A circuit containing thousands of memristors for finding the shortest path in a complicated maze is a typical example of a numerically challenging simulation. A benchmark circuit for testing the applications of various complexities is used for the transient analysis. It is shown that various commonly used models, from simple behavioral to Pickett models, require special modifications for minimizing the simulation time and improving the convergence issue.

English abstract

In order to avoid non-convergence and other numerical problems associated with the simulation of extremely large memristive networks, suitable models of the individual memristors need to be developed. A circuit containing thousands of memristors for finding the shortest path in a complicated maze is a typical example of a numerically challenging simulation. A benchmark circuit for testing the applications of various complexities is used for the transient analysis. It is shown that various commonly used models, from simple behavioral to Pickett models, require special modifications for minimizing the simulation time and improving the convergence issue.

Keywords

model; massively-parallel analog computation; convergence problems; SPICE

Released

22.05.2016

Publisher

IEEE

Location

USA

ISBN

978-1-4799-5340-0

Book

2016 IEEE International Symposium on Circuits and Systems (ISCAS)

Pages from

389

Pages to

392

Pages count

4

URL

BibTex


@inproceedings{BUT128511,
  author="Dalibor {Biolek} and Zdeněk {Kolka} and Viera {Biolková} and Zdeněk {Biolek}",
  title="Memristor Models for SPICE Simulation of Extremely Large Memristive Networks",
  annote="In order to avoid non-convergence and other numerical problems associated with the simulation of extremely large memristive networks, suitable models of the individual memristors need to be developed. A circuit containing thousands of memristors for finding the shortest path in a complicated maze is a typical example of a numerically challenging simulation. A benchmark circuit for testing the applications of various complexities is used for the transient analysis. It is shown that various commonly used models, from simple behavioral to Pickett models, require special modifications for minimizing the simulation time and improving the convergence issue.",
  address="IEEE",
  booktitle="2016 IEEE International Symposium on Circuits and Systems (ISCAS)",
  chapter="128511",
  doi="10.1109/ISCAS.2016.7527252",
  howpublished="electronic, physical medium",
  institution="IEEE",
  year="2016",
  month="may",
  pages="389--392",
  publisher="IEEE",
  type="conference paper"
}