分区电路中最小切割复制的新算法

Hannah Honghua Yang, D. F. Wong
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引用次数: 26

摘要

Hwang和El Gamal(1992,1995)提出了最小切割复制问题,即确定k-way分区组件的最小切割复制集,使分区的切割大小在复制后最小化。他们给出了一个寻找k路分割有向图的最小切割复制集的最优算法。然而,他们的最优最小切割复制算法并不能保证最小切割复制集的最小大小。此外,他们的算法对于超图来说不是最优的。在本文中,我们最优地解决了有向图上的最小面积最小切割复制问题,即寻找具有最小大小的最小切割复制集。更重要的是,我们用一个更小的流网络模型给出了超图最小面积最小割复制问题的最优解。我们在一个名为Hyper-MAMC的包中实现了我们的算法,并将Hyper-MAMC接口到TAPIR包。平均而言,在一组MCNC Partition93基准测试电路的相同初始分区上,Hyper-MAMC产生的切断网比TAPIR包中的MO-Rep少57.3%,运行速度也快得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New algorithms for min-cut replication in partitioned circuits
Hwang and El Gamal (1992, 1995) formulated the min-cut replication problem, which is to determine min-cut replication sets for the components of a k-way partition such that the cut size of the partition is minimized after the replication. They gave an optimal algorithm for finding min-cut replication sets for a k-way partitioned digraph. However, their optimal min-cut replication algorithm does not guarantee min-cut replication sets of minimum sizes. Furthermore, their algorithm is not optimal for hypergraphs. In this paper, we optimally solve the min-area min-cut replication problem on digraphs, which is to find min-cut replication sets with the minimum sizes. More importantly, we give an optimal solution to the hypergraph min-area min-cut replication problem using a much smaller flow network model. We implemented our algorithms in a package called Hyper-MAMC, and interfaced Hyper-MAMC to the TAPIR package. On average, Hyper-MAMC produces 57.3% fewer cut nets and runs much faster than MO-Rep in the TAPIR package, on the same initial partitions of a set of MCNC Partition93 benchmark circuits.
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