DocumentCode :
2818668
Title :
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
Link To Document :
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