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Project Summary

KaHyPar is a multilevel hypergraph partitioning framework for optimizing the cut- and the (λ − 1)-metric. It supports both recursive bisection and direct k-way partitioning. KaHyPar instantiates the multilevel approach in its most extreme version, removing only a single vertex in every level of the hierarchy. By using this very fine grained n-level approach combined with strong local search heuristics, it computes solutions of very high quality. Its algorithms and detailed experimental results are presented in several research publications.

Tags

algorithm_engineering c++11 c++14 combinatorial_optimization hypergraph_partitioning hypergraphs multilevel partitioning

In a Nutshell, KaHyPar - Karlsruhe Hypergraph Partit...

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Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

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Languages

Languages?height=75&width=75
C++
85%
Python
10%
8 Other
5%

30 Day Summary

Feb 28 2020 — Mar 29 2020

12 Month Summary

Mar 29 2019 — Mar 29 2020
  • 179 Commits
    Down -5 (2%) from previous 12 months
  • 5 Contributors
    Down 0 (0%) from previous 12 months