Parallel design and implementation of SOM neural computing model in PVM environment of a distributed system

Author

Guan, Huiwei ; Li, Chi-Kwong ; Cheung, To-yat ; Yu, Songnian

Author_Institution

Dept. of Comput. Sci., City Univ. of Hong Kong, Hong Kong

fYear

1997

fDate

19-21 Mar 1997

Firstpage

26

Lastpage

31

Abstract

A parallel design and implementation of the Self-Organizing Map (SOM) neural computing model is proposed. The parallel design of SOM is implemented in a parallel virtual machine (PVM) environment of a distributed system. A practical realization of SOM algorithm is investigated, the construction of computing module in parallel virtual machine is discussed, the communication methods and an optimization of message passing between multiple processes are proposed, and the parallel programming technique and a PVM implementation of SOM neural computing model are given and discussed in detail

Keywords

message passing; neural net architecture; parallel architectures; self-organising feature maps; virtual machines; PVM environment; SOM neural computing model; distributed system; message passing; parallel virtual machine; Application software; Computer networks; Concurrent computing; Design engineering; Distributed computing; Message passing; Modular construction; Parallel programming; Signal processing algorithms; Virtual machining;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Parallel and Distributed Computing, 1997. Proceedings

Conference_Location

Shanghai

Print_ISBN

0-8186-7876-3

Type

conf

DOI

10.1109/APDC.1997.574010

Filename

574010