Abstract
We consider efficient simulations of mesh connected networks by hypercube machines. In particular, we consider embedding a mesh or grid G into the smallest hypercube that has at least as many points as G, called the optimal hypercube for G. In order to minimize simulation time we derive embeddings, i.e. one-to-one mappings of points in G to points in the hypercube, which minimize dilation, i.e. the maximum distance in the hypercube between images of adjacent points of G. Our results are:
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(1)
There is a dilation 2 embedding of the [m×k] grid into its optimal hypercube, under conditions described in Theorem 2.1.
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(2)
For any k<d, there is a dilation k+1 embedding of a [a1×a2× ... ×ad] grid into its optimal hypercube, under conditions described in Theorem 3.1.
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(3)
A lower bound on dilation in embedding multi-dimensional meshes into their optimal hypercube as described in Theorem 3.2.
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© 1988 Springer-Verlag Berlin Heidelberg
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Bettayeb, S., Miller, Z., Sudborough, I.H. (1988). Embedding grids into hypercubes. In: Reif, J.H. (eds) VLSI Algorithms and Architectures. AWOC 1988. Lecture Notes in Computer Science, vol 319. Springer, New York, NY. https://doi.org/10.1007/BFb0040388
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DOI: https://doi.org/10.1007/BFb0040388
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