针对大量分区的网络列表的递归双分区

R. Drechsler, Wolfgang Günther, T. Eschbach, Lothar Linhard, Gerhard Angst
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引用次数: 17

摘要

在VLSI CAD的许多应用中,给定的网表必须划分为更小的子设计,这样可以更好地处理。在本文中,我们提出了一种新的递归双分区算法,它特别适用于需要计算大量最终分区的情况,例如超过1000个。该算法分为两步。在递归分解的基础上,将问题分解成若干个子问题,但随着递归深度的增加,所投入的运行时间也会增加。通过这种方法,可以很快地确定初始解。该方法的核心是第二步,其中应用了一个非常强大的贪婪算法来细化分区。实验结果给出了比较新方法的最先进的工具。实验表明,新方法在运行时间和质量方面优于标准技术。此外,内存使用量非常低,与其他方法相比减少了四倍以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recursive bi-partitioning of netlists for large number of partitions
In many application in VLSI CAD, a given netlist has to be partitioned into smaller sub-designs which can be handled much better. In this paper we present a new recursive bi-partitioning algorithm that is especially applicable, if a large number of final partitions, e.g. more than 1000, has to be computed. The algorithm consists of two steps. Based on recursive splits the problem is divided into several sub-problems, but with increasing recursion depth more run time is invested. By this an initial solution is determined very fast. The core of the method is a second step, where a very powerful greedy algorithm is applied to refine the partitions. Experimental results are given that compare the new approach to state-of-the-art tools. The experiments show that the new approach outperforms the standard techniques with respect to run time and quality. Furthermore, the memory usage is very low and is reduced in comparison to other methods by more than a factor of four.
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