A hybrid multilevel/genetic approach for circuit partitioning

Charles J. Alpert, L. Hagen, Andrew B. Kahng
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引用次数: 80

Abstract

We present a multilevel/genetic circuit partitioning algorithm that utilizes the Metis graph partitioning package, which had been previously applied to finite-element graphs. Our new technique produces better results than Metis alone, and also produces bipartitionings that are competitive with recent methods while using less CPU time.
电路划分的多级/遗传混合方法
我们提出了一种多级/遗传电路划分算法,该算法利用了先前应用于有限元图的Metis图划分包。我们的新技术比单独使用Metis产生更好的结果,并且在使用更少CPU时间的情况下,还产生了与最近的方法相竞争的双分区。
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