Cache-Oblivious Data Structures and Algorithms for Undirected Breadth-First Search and Shortest Paths

Gerth Stølting Brodal, Rolf Fagerberg, Ulrich Meyer, Norbert Zeh

Abstract


We present improved cache-oblivious data structures and algorithms for breadth-first search (BFS) on undirected graphs and the single-source shortest path (SSSP) problem on undirected graphs with non-negative edge weights. For the SSSP problem, our result closes the performance gap between the currently best cache-aware algorithm and the cache-oblivious counterpart. Our cache-oblivious SSSP-algorithm takes nearly full advantage of block transfers for dense graphs. The algorithm relies on a new data structure, called bucket heap, which is the first cache-oblivious priority queue to efficiently support a weak DECREASEKEY operation. For the BFS problem, we reduce the number of I/Os for sparse graphs by a factor of nearly sqrt{B}, where B is the cache-block size, nearly closing the performance gap between the currently best cache-aware and cache-oblivious algorithms.

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DOI: http://dx.doi.org/10.7146/brics.v11i2.21827
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ISSN: 0909-0878 

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