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

  • Gerth Stølting Brodal
  • Rolf Fagerberg
  • Ulrich Meyer
  • Norbert Zeh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3111)


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.


Priority Queue External Memory Memory Hierarchy Adjacency List Euler Tour 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Gerth Stølting Brodal
    • 1
  • Rolf Fagerberg
    • 2
  • Ulrich Meyer
    • 3
  • Norbert Zeh
    • 4
  1. 1.BRICS, Department of Computer ScienceUniversity of AarhusÅrhus CDenmark
  2. 2.Department of Mathematics and Computer ScienceUniversity of Southern DenmarkOdense MDenmark
  3. 3.Max-Planck-Institut für InformatikSaarbrückenGermany
  4. 4.Faculty of Computer ScienceDalhousie UniversityHalifaxCanada

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