APPLICATION OF SELF-ORGANIZING NEURAL NETWORK IN TIMING-DRIVEN PLACEMENT

Hu Weiming; Lu Yun; Zhu Yusong; Yan Xiaolang

Volume 21 Issue 1

Jan. 1999

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Article Navigation > Journal of Electronics & Information Technology > 1999 > 21(1): 132-135

Hu Weiming, Lu Yun, Zhu Yusong, Yan Xiaolang. APPLICATION OF SELF-ORGANIZING NEURAL NETWORK IN TIMING-DRIVEN PLACEMENT[J]. Journal of Electronics & Information Technology, 1999, 21(1): 132-135.

Citation:

Hu Weiming, Lu Yun, Zhu Yusong, Yan Xiaolang. APPLICATION OF SELF-ORGANIZING NEURAL NETWORK IN TIMING-DRIVEN PLACEMENT[J]. Journal of Electronics & Information Technology, 1999, 21(1): 132-135.

Hu Weiming, Lu Yun, Zhu Yusong, Yan Xiaolang. APPLICATION OF SELF-ORGANIZING NEURAL NETWORK IN TIMING-DRIVEN PLACEMENT[J]. Journal of Electronics & Information Technology, 1999, 21(1): 132-135.

Citation:

Hu Weiming, Lu Yun, Zhu Yusong, Yan Xiaolang. APPLICATION OF SELF-ORGANIZING NEURAL NETWORK IN TIMING-DRIVEN PLACEMENT[J]. Journal of Electronics & Information Technology, 1999, 21(1): 132-135.

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APPLICATION OF SELF-ORGANIZING NEURAL NETWORK IN TIMING-DRIVEN PLACEMENT

Received Date: 1997-08-01
Rev Recd Date: 1997-12-08
Publish Date: 1999-01-19

Abstract

Abstract

In this paper, a timing-driven placement algorithm using Kohonen self-organizing is proposed. The object function of the algorithm is to minimize the critical nets. In the algorithm, net-based similarity vector is presented. Compared with the cell-based similarity vector, net-based similarity vector not only can directly deal with the multi-terminal nets, but also can describe the information about timing. The experimental result shows that it is a effective method.

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References(1)

References

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