Hypergraph partitioning usually produces partitions (assignments) of higher quality than graph partitioning, which may reduce communication time in parallel ...
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The hypergraph partitioning problem can be defined as the task of dividing a hypergraph into two or more parts such that the cutsize is minimized, while a given ...
Graph and hypergraph partitioning are important problems with applications in several areas including parallel processing, VLSI design automation, physical ...
KaHyPar is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of ...
Distributed (hyper)graph partitioning is one way to handle large inputs that do not fit into the main memory of a single machine. In the distributed-memory ...
The K-way graph/hypergraph partitioning problem is usually solved by recursive bisection. In this scheme, first a 2-way partition of H is obtained, and then ...
Mar 5, 2006 · The multilevel hypergraph partitioning framework provides the best known partitioning results for large-scale circuit hypergraphs. It consists ...
Mar 30, 2023 · This work presents the scalable and high-quality hypergraph partitioning framework Mt-KaHyPar. Its most important components are parallel improvement ...
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Hypergraph partitioning is an important problem in machine learning, computer vision and network analytics. 1.
This article considers the fundamental and intensively studied problem of balanced hypergraph partitioning (BHP), which asks for partitioning the vertices into ...