Modeling and simulation of large memristive networks
| Autor: | Dalibor Biolek, Zdenek Kolka, Viera Biolkova, Zdenek Biolek, Dejan V. Tošić, Milka M. Potrebic |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
010302 applied physics
Artificial neural network Computer science Applied Mathematics 020206 networking & telecommunications 02 engineering and technology Memristor Parallel computing 01 natural sciences Computer Science Applications Electronic Optical and Magnetic Materials law.invention Modeling and simulation law 0103 physical sciences Convergence (routing) 0202 electrical engineering electronic engineering information engineering Benchmark (computing) Electrical and Electronic Engineering Crossbar switch Massively parallel Electronic circuit |
| Zdroj: | International Journal of Circuit Theory and Applications. 46:50-65 |
| ISSN: | 0098-9886 |
| Popis: | Summary 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. Copyright © 2017 John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text