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Comparative Experiment of the Core Property of Weighted Hyper-Graph Based on the ISPD98 Benchmark

机译:基于ISPD98基准的加权超图核心属性的比较实验

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Combined with the application of circuit partitioning, the hyper-graph model of ISPD98 benchmark is built on the weighted hyper-graph and the formal description of weighted hyper-graph partitioning problem is presented. The weighted hyper-graph partitioning algorithms based on the multi-level method is described. We also propose the matching strategy based on the core property of vertex which improves previous matching strategies based on the local information of vertex. Furthermore, we extend the core notion of graph to the hyper-graph, propose the core notion of hyper-graph and give its formal description. Finally, we carry out the comparative experiment between the degree and core of vertex based on 18 hyper-graphs of ISPD98 benchmark. The experiment and analysis show the core of vertex can more nearly reflects the importance of vertex in the coarse hyper-graph of each level than the degree of vertex.
机译:结合电路划分的应用,在加权超图的基础上建立了ISPD98基准的超图模型,给出了加权超图划分问题的形式化描述。描述了基于多层方法的加权超图分割算法。我们还提出了一种基于顶点核心属性的匹配策略,以基于顶点的局部信息改进了以前的匹配策略。此外,我们将图的核心概念扩展到超图,提出了超图的核心概念并对其进行了形式化描述。最后,基于ISPD98基准的18张超图,对顶点的度和核心进行了比较实验。实验和分析表明,顶点的核心比顶点的程度更能反映顶点在每个级别的粗超图中的重要性。

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