Data parallel software simulation of cellular neural networks

Author

Schikuta, Erich

Author_Institution

Dept. of Data Eng., Wien Univ., Austria

fYear

1996

Firstpage

267

Lastpage

271

Abstract

A data parallel model for the parallel simulation of cellular neural networks is proposed. This approach is based on the SPMD (single-program multiple data) model and utilizes the highly specialized programming environment of the Vienna FORTRAN compilation system (VFCS) for the parallel process. It allows an easy development of the simulation system as a sequential program attributed with data distribution information shifting the difficult parallel process to the compiler. An analysis of the run-time behavior of the developed parallel programs for the simulation of cellular neural networks for different data distribution schemes is given, which justifies the efficiency of the proposed approach

Keywords

cellular neural nets; data structures; parallel programming; parallelising compilers; programming environments; virtual machines; Vienna FORTRAN compilation system; cellular neural networks; data distribution; data parallel model; data parallel software simulation; data structures; parallel processing; parallel programs; programming environment; sequential program; single program multiple data model; Analytical models; Cellular neural networks; Computational modeling; Computer architecture; Costs; Distributed computing; Employment; Neural network hardware; Neural networks; Program processors;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on

Conference_Location

Seville

Print_ISBN

0-7803-3261-X

Type

conf

DOI

10.1109/CNNA.1996.566573

Filename

566573