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More Recent Advances in (Hyper)Graph Partitioning

26 May 2022
Umit V. cCatalyurek
K. Devine
Marcelo Fonseca Faraj
Lars Gottesburren
Tobias Heuer
Henning Meyerhenke
Peter Sanders
Sebastian Schlag
Christian Schulz
Daniel Seemaier
D. Wagner
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Abstract

In recent years, significant advances have been made in the design and evaluation of balanced (hyper)graph partitioning algorithms. We survey trends of the last decade in practical algorithms for balanced (hyper)graph partitioning together with future research directions. Our work serves as an update to a previous survey on the topic. In particular, the survey extends the previous survey by also covering hypergraph partitioning and streaming algorithms, and has an additional focus on parallel algorithms.

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