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Vertex decomposition method for wirelength problem and its applications to enhanced hypercube networks

机译:线长问题的顶点分解方法及其在增强超立方体网络中的应用

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In this study, the authors discuss the vertex congestion of any embedding from the guest graph into the host graph and outline a rigorous mathematical method to compute the wirelength of that embedding. Further, they show that the computation of the optimal wirelength depends on finding optimal solutions for another graph partition problem such as edge isoperimetric problem in that guest graph. On the other side, they consider an important variant of the popular hypercube network, the enhanced hypercube, and obtain the nested optimal solutions for the edge isoperimetric problem. As a combined output, they illustrate the authors' technique by embedding enhanced hypercube into a caterpillar and from that reducing the linear layout of the enhanced hypercube. As another application of their technique, they embed the hypercube as well as the enhanced hypercube on the two rows extended grid structure with optimal wirelength for the first time and showing that the existing edge congestion technique cannot be used to solve this problem.
机译:在这项研究中,作者讨论了从来宾图到主图的任何嵌入的顶点拥塞,并概述了一种严格的数学方法来计算该嵌入的线长。此外,他们表明,最佳线长的计算取决于找到另一个图形分区问题(例如该来宾图中的边等距问题)的最佳解决方案。另一方面,他们考虑了流行的超立方体网络的一个重要变体,即增强型超立方体,并获得了边缘等参问题的嵌套最优解。作为组合输出,他们通过将增强型超立方体嵌入到毛毛虫中并从中减少了增强型超立方体的线性布局来说明作者的技术。作为他们技术的另一个应用,他们首次将超立方体和增强型超立方体嵌入具有最佳线长的两行扩展网格结构中,这表明现有的边缘拥塞技术无法解决该问题。

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