An efficient iterative improvement technique for VLSI circuit partitioning using hybrid bucket structures

C. Eem, J. Chong
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引用次数: 4

Abstract

In this paper, we present a fast and efficient iterative improvement partitioning (IIP) technique for VLSI circuits and hybrid bucket structures on its implementation. Due to their time efficiency, IIP algorithms are widely used in VLSI circuit partitioning. As the performance of these algorithms depends on choices of moving cells, various such methods have been proposed. In particular, the cluster-removal algorithm by S. Dutt significantly improved partition quality. We indicate the weaknesses of previous algorithms using a uniform method for the choice of cells during improvement. To solve this problem, we propose a new IIP technique that selects the method for choice of cells according to improvement status and presents hybrid bucket structures for easy implementation. The time complexity of the proposed algorithm is the same as the FM method, and the experimental results on ACM/SIGDA benchmark circuits show improvement up to 33-44%, 45-50% and 10-12% in cutsize over FM, LA-3 and CLIP respectively. Also with shorter CPU time, our technique outperforms Paraboli and MELO represented constructive partition methods by about 12% and 24%, respectively.
基于混合桶结构的VLSI电路划分的有效迭代改进技术
在本文中,我们提出了一种快速有效的迭代改进划分(IIP)技术,用于VLSI电路和混合桶结构的实现。IIP算法由于其时间效率高,在VLSI电路划分中得到了广泛的应用。由于这些算法的性能取决于运动单元的选择,因此已经提出了各种这样的方法。其中,S. Dutt的聚类去除算法显著提高了分区质量。在改进过程中,我们使用统一的方法来选择单元,指出了以前算法的弱点。为了解决这一问题,我们提出了一种新的IIP技术,根据改进状态选择单元的选择方法,并提出了易于实现的混合桶结构。在ACM/SIGDA基准电路上的实验结果表明,该算法比FM、LA-3和CLIP分别提高了33-44%、45-50%和10-12%的切割尺寸。此外,在更短的CPU时间内,我们的技术比抛物线和MELO表示的构造划分方法分别高出约12%和24%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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