DocumentCode
2694705
Title
LSI module placement methods using neural computation networks
Author
Date, Hiroyuki ; Seki, Morihiro ; Hayashi, Teruaki
fYear
1990
fDate
17-21 June 1990
Firstpage
831
Abstract
An LSI module placement algorithm which uses neural networks is presented. A formula which determines the weighting factors of the constraint and objective function in the energy so that they converge to a vertex, a point on the edge, or an interior point of the hypercube is derived. In a comparison with simulated annealing and min-cut methods, the proposed method was as good as the min-cut method but not as good as the simulated annealing method
Keywords
circuit layout CAD; large scale integration; simulated annealing; LSI module placement methods; constraint; hypercube; min-cut methods; neural computation networks; objective function; simulated annealing; weighting factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/IJCNN.1990.137673
Filename
5726633
Link To Document