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
fDate :
5/1/1998 12:00:00 AM
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;
Journal_Title :
Computers and Digital Techniques, IEE Proceedings -
DOI :
10.1049/ip-cdt:19981936