Cache-oblivious data structures and algorithms for undirected breadth-first search and shortest paths

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Abstract

We present improved cache-oblivious data structures and algorithms for breadth-first search and the single-source shortest path problem on undirected graphs with non-negative edge weights. Our results removes the performance gap between the currently best cache-aware algorithms for these problems and their cache-oblivious counterparts. Our shortest-path 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. © Springer-Verlag Berlin Heidelberg 2004.

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Brodal, G. S., Fagerberg, R., Meyer, U., & Zeh, N. (2004). Cache-oblivious data structures and algorithms for undirected breadth-first search and shortest paths. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3111, 480–492. https://doi.org/10.1007/978-3-540-27810-8_41

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