634 research outputs found

    Constructing Two Edge-Disjoint Hamiltonian Cycles in Locally Twisted Cubes

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    The nn-dimensional hypercube network QnQ_n is one of the most popular interconnection networks since it has simple structure and is easy to implement. The nn-dimensional locally twisted cube, denoted by LTQnLTQ_n, an important variation of the hypercube, has the same number of nodes and the same number of connections per node as QnQ_n. One advantage of LTQnLTQ_n is that the diameter is only about half of the diameter of QnQ_n. Recently, some interesting properties of LTQnLTQ_n were investigated. In this paper, we construct two edge-disjoint Hamiltonian cycles in the locally twisted cube LTQnLTQ_n, for any integer nâ©ľ4n\geqslant 4. The presence of two edge-disjoint Hamiltonian cycles provides an advantage when implementing algorithms that require a ring structure by allowing message traffic to be spread evenly across the locally twisted cube.Comment: 7 pages, 4 figure

    Wildcard dimensions, coding theory and fault-tolerant meshes and hypercubes

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    Hypercubes, meshes and tori are well known interconnection networks for parallel computers. The sets of edges in those graphs can be partitioned to dimensions. It is well known that the hypercube can be extended by adding a wildcard dimension resulting in a folded hypercube that has better fault-tolerant and communication capabilities. First we prove that the folded hypercube is optimal in the sense that only a single wildcard dimension can be added to the hypercube. We then investigate the idea of adding wildcard dimensions to d-dimensional meshes and tori. Using techniques from error correcting codes we construct d-dimensional meshes and tori with wildcard dimensions. Finally, we show how these constructions can be used to tolerate edge and node faults in mesh and torus networks
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