Publication detail

Modeling and simulation of large memristive networks

BIOLEK, D. KOLKA, Z. BIOLKOVÁ, V. BIOLEK, Z. POTREBIC, M. TOSIC, D.

Original Title

Modeling and simulation of large memristive networks

Type

journal article in Web of Science

Language

English

Original Abstract

The paper deals with the modeling of memristors operating in extremely large memristive networks such as crossbar structures for memory and computational circuits, memristor-based neural networks or circuits for massively parallel analog computations. Because the non-convergence and other numerical problems increase with increasing complexity of the simulated circuit, suitable models of the individual memristors need to be choicely developed and optimized. Three different models are considered, each representing a specific trade-off between speed and accuracy. Benchmark circuits for testing the applications of various complexities are used for the transient analysis in HSPICE. It is shown how the models can be modified to minimize the simulation time and improve the convergence.

Keywords

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

Authors

BIOLEK, D.; KOLKA, Z.; BIOLKOVÁ, V.; BIOLEK, Z.; POTREBIC, M.; TOSIC, D.

Released

15. 3. 2017

Publisher

John Wiley & Sons, Ltd.

Location

USA

ISBN

1097-007X

Periodical

International Journal of Circuit Theory and Applications

Year of study

2017

Number

1

State

United Kingdom of Great Britain and Northern Ireland

Pages from

50

Pages to

65

Pages count

16

URL

http://dx.doi.org/10.1002/cta.2327

BibTex

@article{BUT141094,
  author="Dalibor {Biolek} and Zdeněk {Kolka} and Viera {Biolková} and Zdeněk {Biolek} and Milka {Potrebic} and Dejan {Tosic}",
  title="Modeling and simulation of large memristive networks",
  journal="International Journal of Circuit Theory and Applications",
  year="2017",
  volume="2017",
  number="1",
  pages="50--65",
  doi="10.1002/cta.2327",
  issn="1097-007X",
  url="http://dx.doi.org/10.1002/cta.2327"
}