KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
International audienceIn scientific computing, load balancing is a crucial step conditioning the per...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework provid...
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel hypergrap...
New features: Windows build (supports MinGW compiler, but not MSVC) Add configuration for partition...
In this paper, we present a new multilevel k-way hypergraph partitioning algorithm that substantiall...
In this paper, we present a new multilevel k-way hypergraph partitioning algorithm that substantiall...
International audienceK-way hypergraph partitioning has an ever-growing use in parallelization of sc...
In this paper, we present parallel multilevel algorithms for the hypergraph partitioning problem. In...
This paper severs as a user guide to the graph partitioning framework KaHIP (Karlsruhe High Quality ...
The balanced hypergraph partitioning problem is to partition a hypergraph into k disjoint blocks of ...
Abstract—Requirements for efficient parallelization of many complex and irregular applications can b...
International audienceRequirements for efficient parallelization of many complex and irregular appli...
Abstract. We present an overview over our graph partitioners KaFFPa (Karl-sruhe Fast Flow Partitione...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
International audienceIn scientific computing, load balancing is a crucial step conditioning the per...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework provid...
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel hypergrap...
New features: Windows build (supports MinGW compiler, but not MSVC) Add configuration for partition...
In this paper, we present a new multilevel k-way hypergraph partitioning algorithm that substantiall...
In this paper, we present a new multilevel k-way hypergraph partitioning algorithm that substantiall...
International audienceK-way hypergraph partitioning has an ever-growing use in parallelization of sc...
In this paper, we present parallel multilevel algorithms for the hypergraph partitioning problem. In...
This paper severs as a user guide to the graph partitioning framework KaHIP (Karlsruhe High Quality ...
The balanced hypergraph partitioning problem is to partition a hypergraph into k disjoint blocks of ...
Abstract—Requirements for efficient parallelization of many complex and irregular applications can b...
International audienceRequirements for efficient parallelization of many complex and irregular appli...
Abstract. We present an overview over our graph partitioners KaFFPa (Karl-sruhe Fast Flow Partitione...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
International audienceIn scientific computing, load balancing is a crucial step conditioning the per...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
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