关于多电平电路划分

Sverre Wichlund
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引用次数: 9

摘要

电路划分的多级划分方法已被证明是强大的(J. Cong和M. Smith, 1993;C.J. Alpert et al., 1996;1997)。我们通过在粗化/非粗化过程中考虑边缘频率信息(G. von Laszweski, 1993),改进了C.J. Alpert等人(1997)的优秀多级划分算法,并打破了联系。此外,非粗化阶段由自适应方案指导,该方案为非粗化阶段的层数增加了灵活性。我们将我们的算法应用于13个基准电路,与Alpert等人的方法相比,在没有额外运行时间的情况下,最小切割和平均最小切割值分别提高了8.6%和34.6%。此外,我们的算法提供了非常稳定的质量结果。这使得我们的算法在多电平电路划分中处于当前最先进的地位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On multilevel circuit partitioning
Multilevel partitioning approaches for circuit partitioning has been shown to be powerful (J. Cong and M. Smith, 1993; C.J. Alpert et al., 1996; 1997). We improve the excellent multilevel partitioning algorithm by C.J. Alpert et al. (1997) by taking edge frequency information (G. von Laszweski, 1993) into account during coarsening/uncoarsening, and to break ties. In addition, the uncoarsening phase is guided by an adaptive scheme which adds flexibility to the number of levels in the uncoarsening phase. We apply our algorithm to 13 benchmark circuits and achieve an improvement in min-cut and average min-cut values of up to 8.6% and 34.6% respectively, compared to the method by Alpert et al., at no extra runtime. Furthermore, our algorithm provides results of very stable quality. This positions our algorithm as current state of the art in multilevel circuit partitioning.
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