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arXiv · 1802.09610

Aggregative Coarsening for Multilevel Hypergraph Partitioning

Ruslan Shaydulin·Ilya Safro
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Abstract

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.

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BibTeXRIS

Ruslan Shaydulin, Ilya Safro. 2018-02-26. Aggregative Coarsening for Multilevel Hypergraph Partitioning. https://doi.org/10.4230/lipics.sea.2018.2

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