• Media type: Text; E-Article; Electronic Conference Proceeding
  • Title: Aggregative Coarsening for Multilevel Hypergraph Partitioning
  • Contributor: Shaydulin, Ruslan [Author]; Safro, Ilya [Author]
  • Published: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2018
  • Language: English
  • DOI: https://doi.org/10.4230/LIPIcs.SEA.2018.2
  • Keywords: matching ; combinatorial scientific computing ; multilevel algorithms ; hypergraph partitioning ; coarsening
  • Origination:
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  • Description: Algorithms for many hypergraph problems, including partitioning, utilize multilevel frameworks to achieve a good trade-off between the performance and the quality of results. In this paper we introduce two novel aggregative coarsening schemes and incorporate them within state-of-the-art hypergraph partitioner Zoltan. Our coarsening schemes are inspired by the algebraic multigrid and stable matching approaches. We demonstrate the effectiveness of the developed schemes as a part of multilevel hypergraph partitioning framework on a wide range of problems.
  • Access State: Open Access