A generalized placement algorithm based on self-organization neural network

Author

Shen, Tao ; Gan, Jun-ren ; Yao, Lin-sheng

Author_Institution

Shanghai Inst. of Metall., Acad. Sinica, China

Volume

4

fYear

1992

fDate

7-11 Jun 1992

Firstpage

761

Abstract

Kohonen´s self-organization neural network is applied to VLSI cell placement. The algorithm proposed by A. Hemani and A. Postula (1990) adapted for two terminal nets is generalized to accommodate multiterminal nets. In contrast to the traditional gate-as-points model, which was proved improper for cell placement, the authors propose a net-as-points model in the new algorithm. Experiments showed that the convergence speed for the new algorithm was several times faster than for the gate-as-points model while the quality of solutions was better. Placements obtained by the new algorithm were superior to those achieved by the min-cut algorithm in terms of total wire length

Keywords

VLSI; circuit layout CAD; self-organising feature maps; VLSI cell placement; gate-as-points model; generalized placement algorithm; multiterminal nets; net-as-points model; self-organization neural network; two terminal nets; Algorithm design and analysis; Computational modeling; Computer networks; Cost function; Gallium nitride; Neural networks; Simulated annealing; Stochastic processes; Very large scale integration; Wire;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1992. IJCNN., International Joint Conference on

Conference_Location

Baltimore, MD

Print_ISBN

0-7803-0559-0

Type

conf

DOI

10.1109/IJCNN.1992.227226

Filename

227226