Detail publikace

Modeling and simulation of large memristive networks

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

Originální název

Modeling and simulation of large memristive networks

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

15. 3. 2017

Nakladatel

John Wiley & Sons, Ltd.

Místo

USA

ISSN

1097-007X

Periodikum

International Journal of Circuit Theory and Applications

Ročník

2017

Číslo

1

Stát

Spojené království Velké Británie a Severního Irska

Strany od

50

Strany do

65

Strany počet

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"
}