Scalable Coarse Grained Parallel Interval Graph Algorithms (2000)
| Venue: | In Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, Las Vegas (2000 |
| Citations: | 1 - 1 self |
BibTeX
@INPROCEEDINGS{He00scalablecoarse,
author = {Xin He and Chun-hsi Huang},
title = {Scalable Coarse Grained Parallel Interval Graph Algorithms},
booktitle = {In Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, Las Vegas (2000},
year = {2000},
pages = {1369--1375}
}
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Abstract
We present scalable coarse grained parallel algorithms for solving interval graph problems on a BSP-like model--Coarse Grained Multicomputers (CGM). The problems we consider include: finding maximum independent set, maximum weighted clique, minimum coloring and cut vertices and bridges. With scalability at ; 8ffl ? 0 (here n denotes the total input size and p the number of processors), our algorithms for maximum independent set and minimum coloring use optimal computation time and O(log p) communication rounds, which is independent of the input size and grows slowly only with the number of processors. Equally scalable are our algorithms for finding maximum weighted clique, cut vertices and bridges, which use O(1) communication rounds and optimal local computation time, achieving both communication and computation optimality.
