Embedding Meshes into Small Boolean Cubes

Ching-Tien Ho, S. Johnsson
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引用次数: 5

Abstract

The embedding of arrays in Boolean cubes, when there are more array elements than nodes in the cube, can always be made with optimal load-factor by reshaping the array to a one-dimensional array. We show that the dilation for such an embedding is of an .to x .t1 x - + x &-I array in an n-cube.Dila tion one embeddings can be obtained by splitting each axis into segments and assigning segments to nodes in the cube by a Gray code. The load-factor is optimal if the axis lengths contain sufficiently many powers of two. The congestion is minimized, if the segment lengths along the different axes are as equal as possible, for the cube configured with at most as many axes as the array. A further decrease in the congestion is possible if the array is partitioned into subarrays, and corresponding axis of different subarrays make use of edge-disjoint Hamiltonian cycles within subcubes. The congestion can also be reduced by using multiple paths between pairs of cube nodes, i.e., by using “fat” edges.
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嵌入网格到小布尔立方体
在布尔数据集中嵌入数组时,当数组元素多于数据集中的节点时,总是可以通过将数组重塑为一维数组来实现最佳负载因子。我们证明了这种嵌入的扩展是在一个n立方体中的一个。到x .t1 x - + x &-I数组。Dila 1嵌入可以通过将每个轴分成段,并通过Gray编码将段分配给立方体中的节点来获得。如果轴长包含足够多的2次幂,则负载因子是最优的。如果沿着不同轴的段长度尽可能相等,那么对于配置了最多与数组一样多的轴的立方体,拥塞就会最小化。如果将数组划分为子数组,并且不同子数组的相应轴利用子立方体内的边不相交哈密顿环,则可能进一步减少拥塞。拥塞也可以通过在对立方体节点之间使用多条路径来减少,即通过使用“胖”边。
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