一种基于动态前瞻性加权的鲁棒最小切改进算法

K. Tani
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引用次数: 1

摘要

本文提出了一种改进fiduccia - matthews最小切算法的方法。该方法引入了前瞻性加权和动态加权两个新思想。前者是基于二次规划的超大规模集成电路放置方法的概念。后者是一种承载移动锁定改进策略的更好行为的技术。在5 K/spl sim/140 K电池的实际电路上的实验表明,该方法取得了令人满意的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A robust min-cut improvement algorithm based on dynamic look-ahead weighting
This paper proposes an approach to enhance Fiduccia-Mattheyses' min-cut algorithm. The approach includes two new ideas: LOOK-AHEAD WEIGHTING and DYNAMIC WEIGHTING. The former is based on the concept of VLSI placement method using quadratic programming. The latter is a technique to carry the better behavior of move-and-lock improvement strategy. Experiments on practical circuits with 5 K/spl sim/140 K cells show that the proposed approach achieves promising results.
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