Mt-KaHyPar is a shared-memory algorithm for partitioning graphs and hypergraphs. The balanced (hyper)graph partitioning problem asks for a partition of the node set of a (hyper)graph into k disjoint ...

Abstract: As the processing of large-scale graphs on a single device is infeasible without partitioning, graph partitioning algorithms are essential for various algorithms and distributed computing ...

Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...

Datasets often incorporate various functional patterns related to different aspects or regimes, which are typically not equally present throughout the dataset. We propose a novel partitioning ...

Management and monitoring of populations in complex habitat mosaics is challenging, requiring effective zonation and bio regionalization strategies. In recent years, marine systems have been ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The challenge of targeting condensates is further exacerbated ...

ABSTRACT: Efficient data management in healthcare is essential for providing timely and accurate patient care, yet traditional partitioning methods in relational databases often struggle with the high ...

Have you ever considered a way to efficiently sort large datasets without using much additional space? One of the most famous and widely used algorithms, Quick Sort, guarantees precisely that. In this ...

Powerful distributed computing can be achieved by communicating cells that individually perform simple operations. Here, we report design software to divide a large genetic circuit across cells as ...

When two large tables are associated, performance problems often occur. One of the more common situations is to use the non-primary key field of one large table to associate the primary key of the ...