Title :
Data parallel software simulation of cellular neural networks
Author_Institution :
Dept. of Data Eng., Wien Univ., Austria
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;
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
DOI :
10.1109/CNNA.1996.566573
