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A Lower Bound for Dilation of an Embedding

机译:嵌入扩展的下界

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摘要

Graph embedding problems have gained importance in the field of interconnection networks for parallel computer architectures. Interconnection networks provide an effective mechanism for exchanging data between processors in a parallel computing system. In this paper, we introduce a technique to obtain a lower bound for dilation of an embedding. Moreover, we give algorithms to compute exact dilation of embedding circulant network into a triangular grid, Tower of Hanoi graph and Sierpinski gasket graph, proving that the lower bound obtained is sharp.
机译:图嵌入问题在并行计算机体系结构的互连网络领域中变得越来越重要。互连网络为在并行计算系统中的处理器之间交换数据提供了一种有效的机制。在本文中,我们介绍了一种获得嵌入膨胀下界的技术。此外,我们给出了将循环网络嵌入三角形网格的精确膨胀算法,包括河内塔图和谢尔宾斯基垫圈图,证明了所获得的下界很明显。

著录项

  • 来源
    《The Computer journal》 |2015年第12期|3271-3278|共8页
  • 作者单位

    School of Advanced Sciences, VIT University, Chennai 600 127, India,School of Mathematical and Physical Sciences, The University of Newcastle, Callaghan, Australia;

    Department of Information Science, Kuwait University, Safat 13060, Kuwait;

    School of Advanced Sciences, VIT University, Chennai 600 127, India;

    School of Computing Science and Engineering, VIT University, Chennai 600127, India;

    School of Mathematical and Physical Sciences, The University of Newcastle, Callaghan, Australia,Department of Mathematics, University of West Bohemia, Pilsen, Czech Republic;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    embedding; dilation; circulant network; triangular grid; Tower of Hanoi; Sierpinski gasket graph;

    机译:嵌入扩张;循环网络;三角形网格河内塔;Sierpinski垫片图;

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