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Parallel graph-partitioning using the mob heuristic

  • Michal Šoch
  • Pavel Tvrdík
  • Martin Volf
5 Algorithms
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1332)

Abstract

In this paper we study graph partitioning which is an important NP-complete problem. We have implemented two mob heuristics and analysed their performance. Our main result is that for randomly generated graphs the mob heuristics with an exponential schedule is more efficient than that with the linear schedule, proposed earlier. With the other parameters of the heuristic being identical the exponential schedule doubles the speedup.

Keywords

PVM graph partitioning heuristic SP-2 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringCzech Technical UniversityPragueCzech Republic

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