HCH—立方体的Hamilton连通性

新型并行计算系统的研制依赖于对新型互连网络结构及其性质的研究。超立方体及其变型——交叉立方体具有优点,也具有缺点。文献[1]给出了在超立方体与交叉立方体的顶点之间的一种连接——超连接,从而得到了一种称为HCH-立方体的互连网络,文章证明了当n≥4,HCH-立方体任意两个顶点之间存在Hamilton路径,即HCH-立方体是Hamilton连通的,而超立方体不是Hamilton连通的。这表明HCH-立方体具备了交叉立方体在Hamilton连通性方面的性质。文章还给出了在n维HCH-立方体中构造任意两个顶点之间Hamilton路径的算法,该算法的时间复杂度为O(N),其中N=2n,为n维HCH-立方体的顶点个数。     

交叉立方体中嵌入超立方体的研究

Efe提出的交叉立方体(crossedcube)是超立方体(hypercube)的一种变型。但是,交叉立方体的某些性质却优于超立方体,其直径几乎是超立方体的一半。在本文中,研究了用交叉立方体互连网络来模拟超立方体互连网络,其实质是图嵌入问题,得出了以下结论:当n≤2,2n维交叉立方体CQ2n可同构嵌入两个n 1维立方体Qn 1。当n≥3,2n维交叉立方体CQ2n可同胚嵌入n 1维超立方体Qn 1。     

LHL-立方体互连网络及其性质

并行计算系统一直是计算机科学中的重要研究领域,其互连网络的拓扑性质对整个网络的性能起着非常重要的作用.目前已经提出多种互连网络,其中超立方体具有对数级的直径、高连通度、对称性等很好的性质,故被用作多种并行机的处理器连接的拓扑结构.然而,超立方体并非所有性质都是最优的互连网络,且超立方体的许多变型结构具有许多比超立方体更好的性质,其中已经证明了局部扭立方体在直径、Hamilton连通性等方面都优于超立方体.给出在超立方体与局部扭立方体的顶点间的一种连接方式--超连接,从而得到一种称为LHL-立方体的新型网络,并对这种网络的以下性质进行了研究:顶点连通度、边连通度、Hamilton连通性、直径.研究结果表明,一个n维LHL-立方体是一个具有2n个顶点和n2n-1条边的n-正则图,n维LHL-立方体的顶点连通度和边连通度均为n,且是Hamilton连通的,直径上界为[n/2 ]+3.     

局部扭立方体环互连网络及其性质

优化网络的拓扑结构是互连网络研究的重要研究方向。局部扭立方体（locally twisted cube,LTQn ）是对超立方体（hypercube,Qn ）互连网络的优化变种,然而当对LTQn 升级时,需要成倍地增加网络的节点,这不利于LTQn的应用和发展。为了克服LTQn 这一缺陷,提出了一种新的互连网络拓扑结构：局部扭立方体环互连网络（locally twisted cube-connected ring interconnect network,LRN）,给出了LRN的定义及其拓扑结构,并研究了LRN的网络直径、连接度、汉密尔顿连通性、泛圈性、路由等问题,证明了LRN是一种易于升级又具有LTQn 许多优良性质的层次环互连网络（hierarchical ring interconnection networks,HRN）。     

交叉立方体内顶点不交叉路径长度的研究

Efe提出的交叉立方体（crossed cube）是超立方体（hypercube）的一种变型,其某些性质优于超立方体,比如其直径几乎是超立方体的一半.在高性能的并行计算机系统中,信息是通过若干条结点互不交叉的路径并行传输,并且网络中的结点和链路出错是不可避免的,因此这些路径的长度将直接影响并行计算的性能.本文对交叉立方体的内顶点互不交叉路径进行了研究,证明了以下结论：在n维交叉立方体CQn中任意两顶点u,v间存在n条内顶点互不交叉的路径, 使得（1）最短路的长度=u和v之间的距离, （2）所有路中的最长路径长度≤u和v的距离＋4. 这说明交叉立方体互连网络具有很好的并行通信性能和容错性能.     

超级交叉立方体互连网络上的圈嵌入

作为超立方体的变型，交叉立方体同时具有一些比超立方体优越的性质，但类似于超立方体，它的升级也伴随着顶点个数的增加而成倍中增加。为了解决这一问题，一种称为超级交叉立方体（SCC）的互连网络被提了出来。有关文献已证明，SCC很好地保持了交叉立方体在顶点度数，直径和连通度方面的优越性质，而且其升级可以增加任意多个顶点。用图嵌入技术讨论了SCC模拟环网络的能力，证明了长度为4到N的任一圈都能以扩张1嵌入具有N个顶点的SCC，从而证明了SCC模拟环网络的能力与交叉立方体完全相同。     

超级扭立方体互连网络及其性质

扭立方体是超立方体的一类变体,它具有比超立方体更好的性质。但是,同超立方体一样,它也是具有2n个顶点的n-正则图,故要使一个扭立方体的维数(即顶点度数)增加1(称为升级),就必须成倍地增加扭立方体中的顶点个数。为了解决这一问题,将具有2n个顶点的扭立方体的拓扑结构加以改变,得到了包含任意多个顶点的互连网络——超级扭立方体(STN)。证明了超级扭立方体保持了扭立方体的最高连通度、对数级的直径和顶点度数、Hamilton性质、连通度级的tp-可诊断度等方面的优良性质,更进一步地,由于它包含了任意多个顶点,所以对它的升级只需增加任意多个顶点,从而克服了扭立方体的升级必须成倍增加其顶点个数的缺点。     

超级交叉立方体互连网络及其拓扑性质

交叉立方体是近年提出的超立方体的一种变种。由于它的许多优越性质（如直径、嵌入性等）,在并行处理领域越来越受到人们的重视。然而,像超立方体一样,它也有一个缺点,即要使交叉立方体升级,就必须成倍地增加其顶点个数。为了解决这一问题,本文将顶点个数的２的次幂的交叉立方体推广到具有任意个顶点的互连网络,提出了超级交叉立方体的定义,并证明它保持了交叉立方体在高速通度、对数级的直径和顶点度数等方面的优良性质,从     

交叉立方体在两种策略下的可诊断性

互连网络可诊断性度的高低是衡量这种网络性能优劣的重要标志二交叉立方体是近年提出的一类互连网络，它有一些比超立方体更好的性质．本文用PMC模型证明了n维交叉立方体Dn在精确策略和悲观策略下分别是n-可诊断的和（2n－2）／（2n－2）一可诊断的，从而证明民在这两种策略下的可诊断性度与n维超立体的相同．另外，本文在证明Dn是n-可诊断的同时，还得到了Dn中任何两顶点之间的n条互不相交的路径，它们可作为容错远路的依据．     

超级局部扭立方体互连网络及其性质

局部扭立方体是近年来提出的超立方体的一个变型,由于它的许多优越性质(如低直径),在并行处理领域越来越受到人们的重视.然而,像超立方体一样,它也有一个缺点,即要使局部扭立方体升级,就必须成倍地增加其顶点个数.为了解决这一问题,文中将顶点个数为2的次幂的局部扭立方体推广到具有任意个顶点的互连网络,提出了超级局部扭立方体(SLTC)的定义,并证明它保持了局部扭立方体的最高连通度、对数级的直径和顶点度数、Hamilton性质等方面的优良性质,从而证明了超级局部扭立方体是既保持了局部扭立方体的多种优越性质又易于升级的互连网络.     

Diagnosability of crossed cubes under the comparison diagnosismodel

Diagnosability of a multiprocessor system is one important study topic in the parallel processing area. As a hypercube variant, the crossed cube has many attractive properties. The diameter, wide diameter and fault diameter of it are all approximately half of those of the hypercube. The power that the crossed cube simulates trees and cycles is stronger than the hypercube. Because of these advantages of the crossed cube, it has attracted much attention from researchers. We show that the n-dimensional crossed cube is n-diagnosable under a major diagnosis model-the comparison diagnosis model proposed by Malek (1980) and Maeng and Malek (1981) if n⩾4. According to this, the polynomial algorithm presented by Sengupta and Dahbura (1992) may be used to diagnose the n-dimensional crossed cube, provided that the number of the faulty nodes in the n-dimensional crossed cube does not exceed n. The conclusion of this paper also indicates that the diagnosability of the n-dimensional crossed cube is the same as that of the n-dimensional hypercube when n>5 and better than that of the n-dimensional hypercube when n=4     

Diagnosability of crossed cubes under the comparison diagnosismodel

Diagnosability of a multiprocessor system is an important study topic in the parallel processing area. As a hypercube variant, the crossed cube has many attractive properties. The diameter, wide diameter and fault diameter of it are all approximately half those of the hypercube. The power with which the crossed cube simulates trees and cycles is stronger than the hypercube. Because of these advantages, the crossed cube has attracted much attention from researchers. In this paper, we show that the n-dimensional crossed cube is n-diagnosable under a major diagnosis model-the comparison diagnosis model proposed by Malek and Maeng (1981) if n ⩾ 4. According to this, the polynomial algorithm presented by Sengupta and Dahbura (1992) may be used to diagnose the n-dimensional crossed cube, provided that the number of the faulty nodes in the n-dimensional crossed cube does not exceed n. The conclusion also indicates that the diagnosability of the n-dimensional crossed cube is the same as that of the n-dimensional hypercube when n ⩾ 5 and better than that of the n-dimensional hypercube when n = 4     

Embedding of generalized Fibonacci cubes in hypercubes with faultynodes

The generalized Fibonacci cubes (abbreviated to GFCs) were recently proposed as a class of interconnection topologies, which cover a spectrum ranging from regular graphs such as the hypercube to semiregular graphs such as the second order Fibonacci cube. It has been shown that the kth order GFC of dimension n+k is equivalent to an n-cube for 0⩽n相似文献   

超级Mbius立方体──一类最优容错的小直径互连网络

文中将具有２ｎ个顶点的Ｍｏｂｉｕｓ立方体的拓扑结构加以改变,得到了包含任意个顶点的互连网络——超级Ｍｏｂｉｕｓ立方体,并证明它保持了Ｍｏｂｉｕｓ立方体的高连通度、对数级的直径和顶点度数等优良性质,并且当顶点个数Ｎ＝２ｎ＋２ｎ－１时,０－型超级Ｍｏｂｉｕｓ立方体是一个（ｎ＋１）－正则图;更进一步地,由于它包含任意个顶点,所以其升级只需增加任意个顶点,从而克服了Ｍｏｂｉｕｓ立方体的升级必须成倍增加其顶点个数的缺点．     

Optimal path embedding in crossed cubes

The crossed cube is an important variant of the hypercube. The n-dimensional crossed cube has only about half diameter, wide diameter, and fault diameter of those of the n-dimensional hypercube. Embeddings of trees, cycles, shortest paths, and Hamiltonian paths in crossed cubes have been studied in literature. Little work has been done on the embedding of paths except shortest paths, and Hamiltonian paths in crossed cubes. In this paper, we study optimal embedding of paths of different lengths between any two nodes in crossed cubes. We prove that paths of all lengths between [(n+1)/2] and 2/sup n/-1 can be embedded between any two distinct nodes with a dilation of 1 in the n-dimensional crossed cube. The embedding of paths is optimal in the sense that the dilation of the embedding is 1. We also prove that [(n+1)/2]+1 is the shortest possible length that can be embedded between arbitrary two distinct nodes with dilation 1 in the n-dimensional crossed cube.     

人工智能神经网络在交叉立方体上的有效映射

Malluhi等人在文献犤1犦中介绍了人工智能神经网络(ANNs)在超立方体上的有效映射,交叉立方体是超立方体的一个重要变型,而且具有比超立方体更优越的性质,如果在交叉立方体上实现ANNs的有效映射,会有更好的意义。论文证明了一个N×NMAT(mesh-of-appendixed-trees)可以嵌入包含4N2个节点的交叉立方体中,其中N是最大一层的长度,并且证明这个嵌入是最优的,从而给出了ANNs在交叉立方体上的一个有效映射。     

The connectivity of exchanged crossed cube

The exchanged crossed cube, proposed by Li et al., is a new interconnection network having better properties than other variations of hypercube in the area of the fewer diameter, smaller links and lower cost factor. In this work we will show that the connectivity of exchanged crossed cube is equal to its minimum degree. Moreover each smallest cut in exchanged crossed cube is a neighborhood of some vertex.