Memristor Models for SPICE Simulation of Extremely Large Memristive Networks

被引：31

作者：

Biolek, D. ^{[1
,3
]}

Kolka, Z. ^{[2
]}

Biolkova, V. ^{[2
]}

Biolek, Z. ^{[1
]}

机构：

[1] Brno Univ Technol, Microelect Dept, Brno, Czech Republic

[2] Brno Univ Technol, Radio Elect Dept, Brno, Czech Republic

[3] Univ Def, Dept EE, Brno, Czech Republic

来源：

2016 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | 2016年

关键词：

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

D O I：

10.1109/ISCAS.2016.7527252

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：389 / 392

页数：4

共 13 条

[1]

Abdalla H, 2011, IEEE INT SYMP CIRC S, P1832, DOI 10.1109/ISCAS.2011.5937942

[2] Phenomenological modeling of memristive devices [J].