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Multilevel hypergraph partitioning: applications in VLSI domain

机译:多级超图分区:VLSI域中的应用

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In this paper, we present a new hypergraph-partitioning algorithmnthat is based on the multilevel paradigm. In the multilevel paradigm, ansequence of successively coarser hypergraphs is constructed. A bisectionnof the smallest hypergraph is computed and it is used to obtain anbisection of the original hypergraph by successively projecting andnrefining the bisection to the next level finer hypergraph. We havendeveloped new hypergraph coarsening strategies within the multilevelnframework. We evaluate their performance both in terms of the size ofnthe hyperedge cut on the bisection, as well as on the run time for annumber of very large scale integration circuits. Our experiments shownthat our multilevel hypergraph-partitioning algorithm producesnhigh-quality partitioning in a relatively small amount of time. Thenquality of the partitionings produced by our scheme are on the averagen6%-23% better than those produced by other state-of-the-art schemes.nFurthermore, our partitioning algorithm is significantly faster, oftennrequiring 4-10 times less time than that required by the other schemes.nOur multilevel hypergraph-partitioning algorithm scales very well fornlarge hypergraphs. Hypergraphs with over 100 000 vertices can benbisected in a few minutes on today's workstations. Also, on the largenhypergraphs, our scheme outperforms other schemes (in hyperedge cut)nquite consistently with larger margins (9%-30%)
机译:在本文中,我们提出了一种基于多级范式的超图分割算法。在多级范例中,构造了依次较粗的超图的序列。计算最小的超图的二等分,并通过连续投影和将二等分细化为下一级更精细的超图,将其用于获取原始超图的二等分。我们已经在多层框架内开发了新的超图粗化策略。我们根据两等分上的超边缘切割的大小以及许多超大规模集成电路的运行时间来评估其性能。我们的实验表明,我们的多级超图分割算法可在相对较短的时间内产生高质量的分割。这样,我们的方案所产生的分区质量平均要比其他最新方案所产生的分区质量高出6%-23%。n此外,我们的分区算法速度显着提高,通常所需时间比所需算法少4-10倍通过其他方案,我们的多级超图分割算法可以很好地缩放大型超图。在当今的工作站上,几分钟内就可以将具有超过10万个顶点的超图分割。此外,在大型超图上,我们的方案在超边缘切割方面的表现优于其他方案,而且利润率始终较高(9%-30%)

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