DocumentCode :
1599271
Title :
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
Link To Document :
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