A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs
SIAM Journal on Scientific Computing
Efficient Algorithms for Shortest Paths in Sparse Networks
Journal of the ACM (JACM)
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Journal of Experimental Algorithmics (JEA)
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Journal of Experimental Algorithmics (JEA)
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Journal of Experimental Algorithmics (JEA)
Point-to-Point Shortest Path Algorithms with Preprocessing
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Journal of Experimental Algorithmics (JEA)
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Journal of Experimental Algorithmics (JEA)
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MedAlg'12 Proceedings of the First Mediterranean conference on Design and Analysis of Algorithms
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In this paper, we consider Dijkstra's algorithm for the point-to-point shortest path problem in large and sparse graphs with a given layout. In [1], a method has been presented that uses a partitioning of the graph to perform a preprocessing which allows to speed-up Dijkstra's algorithm considerably. We present an experimental study that evaluates which partitioning methods are suited for this approach. In particular, we examine partitioning algorithms from computational geometry and compare their impact on the speed-up of the shortest-path algorithm. Using a suited partitioning algorithm speed-up factors of 500 and more were achieved. Furthermore, we present an extension of this speed-up technique to multiple levels of partitionings. With this multi-level variant, the same speed-up factors can be achieved with smaller space requirements. It can therefore be seen as a compression of the precomputed data that conserves the correctness of the computed shortest paths.