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Multiobjective hypergraph-partitioning algorithms for cut and maximum subdomain-degree minimization

机译:用于切割和最大子域度最小化的多目标超图分割算法

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摘要

In this paper, we present a family of multiobjective hypergraph-partitioning algorithms based on the multilevel paradigm, which are capable of producing solutions in which both the cut and the maximum subdomain degree are simultaneously minimized. This type of partitionings are critical for existing and emerging applications in very large scale integration (VLSI) computer-aided design (CAD) as they allow to both minimize and evenly distribute the interconnects across the physical devices. Our experimental evaluation on the International Symposium on Physical Design (ISPD98) benchmark show that our algorithms produce solutions, which when compared against those produced by hM/sub E/T/sub I/S have a maximum subdomain degree that is reduced by up to 36% while achieving comparable quality in terms of cut.
机译:在本文中,我们提出了一个基于多级范式的多目标超图划分算法系列,该算法能够生成同时最小化割面积和最大子域度的解决方案。这种分区对于超大规模集成(VLSI)计算机辅助设计(CAD)中的现有和新兴应用程序至关重要,因为它们可以使互连之间的最小化和均匀分布在物理设备上。我们对国际物理设计研讨会(ISPD98)基准进行的实验评估表明,我们的算法产生了解决方案,与hM / sub E / T / sub I / S产生的解决方案相比,该解决方案的最大子域级降低了36%的切割质量。

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