DocumentCode :
1398105
Title :
Mapping finite element grids onto parallel multicomputers using a self-organising map
Author :
Tan, R.S. ; Narasimhan, V. Lakshmi
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
Volume :
145
Issue :
3
fYear :
1998
fDate :
5/1/1998 12:00:00 AM
Firstpage :
211
Lastpage :
214
Abstract :
LSOM (load-balancing self-organising map), a neural network based on Kohonen´s self-organising map, is proposed for the problem of mapping finite element method (FEM) grids to distributed memory parallel computers with mesh interconnection networks. The rough global ordering produced by LSOM is combined with the local refinement Kernighan-Lin algorithm (LSOM-KL) to obtain the solution. LSOM-KL achieved a load imbalance of less than 0.1%, and a low number of hops, comparable to results obtained with commonly used recursive bisection methods
Keywords :
computational complexity; finite element analysis; multiprocessor interconnection networks; self-organising feature maps; Kohonen´s self-organising map; distributed memory parallel computers; finite element grids mapping; load imbalance; load-balancing self-organising map; local refinement Kernighan-Lin algorithm; mesh interconnection networks; neural network; parallel multicomputers; recursive bisection methods; rough global ordering;
fLanguage :
English
Journal_Title :
Computers and Digital Techniques, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2387
Type :
jour
DOI :
10.1049/ip-cdt:19981936
Filename :
689287
Link To Document :
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