Abstract | ||
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We present an overview over our graph partitioners KaFFPa (Karlsruhe Fast Flow Partitioner) and KaFFPaE (KaFFPa Evolutionary). KaFFPa is a multilevel graph partitioning algorithm which on the one hand uses novel local improvement algorithms based on max-flow and min-cut computations and more localized FM searches and on the other hand uses more sophisticated global search strategies transferred from multi-grid linear solvers. KaFFPaE is a distributed evolutionary algorithm to solve the Graph Partitioning Problem. KaFFPaE uses KaFFPa and provides new effective crossover and mutation operators. By combining these with a scalable communication protocol we obtain a system that is able to improve the best known partitioning results for many inputs. |
Year | DOI | Venue |
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2012 | 10.1090/conm/588/11700 | GRAPH PARTITIONING AND GRAPH CLUSTERING |
DocType | Volume | ISSN |
Conference | 588 | 0271-4132 |
Citations | PageRank | References |
11 | 0.58 | 59 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Peter Sanders | 1 | 1957 | 120.14 |
Christian Schulz | 2 | 240 | 24.10 |