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Parallel algorithms for index-permutation graphs. An extension of Cayley graphs for multiple chip-multiprocessors (MCMP)

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2 Author(s)
Chi-Hsiang Yeh ; Dept. of Electr. & Comput. Eng., Queen''s Univ., Kingston, Ont., Canada ; Parhami, B.

The index-permutation graph (IPG) model is a natural extension of the Cayley graph model, and super-IPGs form an efficient class of IPGs that contain a wide variety of networks as subclasses. In this paper, we derive a number of efficient algorithms and embeddings for super-IPGs, proving their versatility. We show that a multitude of important networks can also be emulated in super-IPGs with optimal slowdown. Also, the intercluster diameter average intercluster distance, and bisection bandwidth of suitably constructed super-IPGs are optimal within small constant factors. Finally we show that when parallel computers, built as multiple chip-multiprocessors (MCMP), are based on super-IPGs, they can significantly outperform those based on hypercubes, k-ary n-cubes, and other networks in carrying out communication-intensive tasks.

Published in:

Parallel Processing, 2001. International Conference on

Date of Conference:

3-7 Sept. 2001

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