Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel hypergraph partitioner equipped with parallel implementations of techniques employed in most sequential state-of-the-art hypergraph partitioners. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality
Graph partitioning is often used for load balancing in parallel computing, but it is known that hype...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel hypergrap...
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework provid...
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework provid...
New features: Windows build (supports MinGW compiler, but not MSVC) Add configuration for partition...
In this paper, we present parallel multilevel algorithms for the hypergraph partitioning problem. In...
We present a shared-memory parallelization of flow-based refinement, which is considered the most po...
In this paper, we present a new multilevel k-way hypergraph partitioning algorithm that substantiall...
International audienceRequirements for efficient parallelization of many complex and irregular appli...
In this paper, we present a new multilevel k-way hypergraph partitioning algorithm that substantiall...
Abstract—Requirements for efficient parallelization of many complex and irregular applications can b...
Abstract—Requirements for efficient parallelization of many complex and irregular applications can b...
International audienceK-way hypergraph partitioning has an ever-growing use in parallelization of sc...
Graph partitioning is often used for load balancing in parallel computing, but it is known that hype...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel hypergrap...
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework provid...
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework provid...
New features: Windows build (supports MinGW compiler, but not MSVC) Add configuration for partition...
In this paper, we present parallel multilevel algorithms for the hypergraph partitioning problem. In...
We present a shared-memory parallelization of flow-based refinement, which is considered the most po...
In this paper, we present a new multilevel k-way hypergraph partitioning algorithm that substantiall...
International audienceRequirements for efficient parallelization of many complex and irregular appli...
In this paper, we present a new multilevel k-way hypergraph partitioning algorithm that substantiall...
Abstract—Requirements for efficient parallelization of many complex and irregular applications can b...
Abstract—Requirements for efficient parallelization of many complex and irregular applications can b...
International audienceK-way hypergraph partitioning has an ever-growing use in parallelization of sc...
Graph partitioning is often used for load balancing in parallel computing, but it is known that hype...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...
In this paper, we present a new hypergraph partitioning algorithm that is based on the multilevel pa...