7 papers
Deep Multilevel Graph Partitioning
Lars Gottesbüren, Tobias Heuer, Peter Sanders +2
Partitioning a graph into blocks of "roughly equal" weight while cutting only few edges is a fundamental problem in computer science with a wide range of applications. In particula…
Shared-Memory n-level Hypergraph Partitioning
Lars Gottesbüren, Tobias Heuer, Peter Sanders +1
We present a shared-memory algorithm to compute high-quality solutions to the balanced -way hypergraph partitioning problem. This problem asks for a partition of the vertex set…
Scalable Shared-Memory Hypergraph Partitioning
Lars Gottesbüren, Tobias Heuer, Peter Sanders +1
Hypergraph partitioning is an important preprocessing step for optimizing data placement and minimizing communication volumes in high-performance computing applications. To cope wi…
Engineering Exact Quasi-Threshold Editing
Lars Gottesbüren, Michael Hamann, Philipp Schoch +3
Quasi-threshold graphs are -free graphs, i.e., they do not contain any cycle or path of four nodes as an induced subgraph. We study the -free editing pr…
Advanced Flow-Based Multilevel Hypergraph Partitioning
Lars Gottesbüren, Michael Hamann, Sebastian Schlag +1
The balanced hypergraph partitioning problem is to partition a hypergraph into disjoint blocks of bounded size such that the sum of the number of blocks connected by each hyper…
Evaluation of a Flow-Based Hypergraph Bipartitioning Algorithm
Lars Gottesbüren, Michael Hamann, Dorothea Wagner
In this paper, we propose HyperFlowCutter, an algorithm for balanced hypergraph bipartitioning. It is based on minimum S-T hyperedge cuts and maximum flows. It computes a sequence…