Design and implementation of a parallel software for hybrid neural network computation in PVM environment

Author

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

Author_Institution

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

Volume

2

fYear

1996

Firstpage

1421

Abstract

This paper discusses the design of a hybrid artificial neural network (ANN) system and its implementation in the Parallel Virtual Machine (PVM) environment. First, the PVM functions for supporting parallel applications and communications among multiple processes and multiple machines are investigated. Then, the design and construction of a hybrid ANN simulation software is proposed. It includes the user interface, control and SPMD computing levels. The software can be used for supporting parallel simulation of different kinds of learning algorithms and neural computing models

Keywords

learning (artificial intelligence); neural nets; parallel machines; parallel programming; programming environments; user interfaces; PVM environment; Parallel Virtual Machine; SPMD computing levels; hybrid ANN simulation software; hybrid artificial neural network; hybrid neural network computation; learning algorithms; multiple machines; multiple processes; neural computing models; parallel applications; parallel communications; parallel software; user interface; Artificial neural networks; Computational modeling; Computer networks; Concurrent computing; Distributed computing; Intelligent networks; Message passing; Neural networks; Parallel programming; Virtual machining;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 1996., 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-2912-0

Type

conf

DOI

10.1109/ICSIGP.1996.566591

Filename

566591