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APPLICATION OF SELF-ORGANIZING NEURAL NETWORK IN TIMING-DRIVEN PLACEMENT |
Hu Weiming; Lu Yun; Zhu Yusong; Yan Xiaolang |
Hangzhou Institute of Electronic Engineering Hangzhou 310037 |
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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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Received: 01 August 1997
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