Towards optimizing global mincut partitioning

A. Hoffmann
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引用次数: 5

Abstract

Mincut algorithms have received much attention in the past for treating the placement problem in layout synthesis. The paper introduces a new class of mincut partitioning algorithms (SQP) meeting global minimization requirements. The new class of algorithms in its different variations is empirically compared with the classical mincut procedures as well as with recent extensions. The new algorithms have shown a significant (10 to 40%) improvement in the overall netlength compared with known algorithms. Moreover, the new class of algorithms is proved to have a linear time complexity.<>
优化全局最小分割
Mincut算法在处理布局综合中的布局问题方面受到了广泛的关注。介绍了一类新的满足全局最小化要求的最小分割算法(SQP)。本文将这类算法的不同变体与经典的最小切过程以及最近的扩展进行了经验比较。与已知算法相比,新算法在总网长方面显示出显着(10至40%)的改进。此外,还证明了这类算法具有线性时间复杂度。
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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