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A Parallel Approach to Row-Based VLSI Layout Using Stochastic Hill-Climbing

机译:基于随机爬山的基于行的VLSI布局并行方法

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摘要

Parallel algorithms based on stochastic hill-climbing and parallel algorithms based on simple elements of a genetic algorithm for the one-sided bipartite crossing number problem, used in row-based VLSI layout, were investigated. These algorithms were run on a PVM cluster. The experiments show that the parallel approach does not bring faster computation but it does, however, much more importantly, bring a better quality solution to the problem, i.e. it generates drawings with lower numbers of pairwise edge crossings.
机译:研究了基于随机爬山的并行算法和基于遗传算法的简单元素的并行算法,该算法用于基于行的VLSI布局中的单边二元交叉数问题。这些算法在PVM​​群集上运行。实验表明,并行方法不会带来更快的计算,但是,更重要的是,它为问题提供了更好的质量解决方案,即它生成的图形具有成对的边交叉点数量较少。

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