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

机译:WireLength问题的顶点分解方法及其应用于增强超立井网络的应用

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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Guest Graph到主机图中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WireLength。此外,他们表明,最佳WireLength的计算取决于找到另一个Guest图中的其他图形分区问题的最佳解决方案,例如边缘等近似问题。在另一边,他们考虑了流行的超级网络,增强的超立方体的一个重要变体,并获得了边缘异常问题的嵌套最佳解决方案。作为组合输出,它们通过将增强的超细胞嵌入到毛虫中,并从降低增强的超立方体的线性布局来说明作者的技术。作为其技术的另一个应用,它们嵌入了HyperCube以及两个行扩展网格结构上的增强超立方体,第一次最佳Wirelength,并显示现有的Edge拥塞技术不能用于解决这个问题。

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