Exploring community detection methods and their diverse applications in complex networks: a comprehensive review
Network science has made tremendous advances, allowing the modeling of complex real-
world systems. Although networks include sophisticated community structures by definition …
world systems. Although networks include sophisticated community structures by definition …
KaMPIng: Flexible and (near) zero-overhead C++ bindings for MPI
The Message-Passing Interface (MPI) and C++ form the backbone of high-performance
computing, but MPI only provides C and Fortran bindings. While this offers great language …
computing, but MPI only provides C and Fortran bindings. While this offers great language …
KaMPIng: Flexible and (Near) Zero-Overhead C++ Bindings for MPI
The Message-Passing Interface (MPI) and C++ form the backbone of high-performance
computing, but MPI only provides C and Fortran bindings. While this offers great language …
computing, but MPI only provides C and Fortran bindings. While this offers great language …
Labeled graph partitioning scheme for distributed edge caching
Distributed edge caching could address latency and congestion problems in large-scale
data access effectively, improving system throughput and performance. However, the lack of …
data access effectively, improving system throughput and performance. However, the lack of …
Distributed algorithm for parallel computation of the n queens solutions
ZEA Bouneb - Expert Systems with Applications, 2024 - Elsevier
The n-queen problem represents a classic challenge in artificial intelligence (AI) research. It
involves the placement of n queens on an nxn chessboard, with the objective of ensuring …
involves the placement of n queens on an nxn chessboard, with the objective of ensuring …
[PDF][PDF] Tera-Scale Multilevel Graph Partitioning
D Salwasser, D Seemaier, L Gottesbüren… - arXiv preprint arXiv …, 2024 - arxiv.org
We present TeraPart, a memory-efficient multilevel graph partitioning method that is
designed to scale to extremely large graphs. In balanced graph partitioning, the goal is to …
designed to scale to extremely large graphs. In balanced graph partitioning, the goal is to …
Brief Announcement: Distributed Unconstrained Local Search for Multilevel Graph Partitioning
P Sanders, D Seemaier - Proceedings of the 36th ACM Symposium on …, 2024 - dl.acm.org
Partitioning a graph into blocks of roughly equal weight while cutting only few edges is a
fundamental problem in computer science with numerous practical applications. While …
fundamental problem in computer science with numerous practical applications. While …
Modern Software Libraries for Graph Partitioning
We summarize recent developments in parallel libraries for balanced graph partitioning,
spanning contributions made over several research papers~\citeMT-KAHYPAR-D, MT …
spanning contributions made over several research papers~\citeMT-KAHYPAR-D, MT …
[PDF][PDF] Optimizing a Parallel Graph Partitioner for Memory Efficiency
D Salwasser - 2024 - ae.iti.kit.edu
Graph partitioning is a classical NP-hard optimization problem with a wide range of practical
applications. The problem is to divide the nodes of a graph into balanced blocks such that …
applications. The problem is to divide the nodes of a graph into balanced blocks such that …
[引用][C] Dynamic Programming-Based Multilevel Graph Partitioning for Large-Scale Graph Data
Multilevel graph algorithms are used to create optimal partitions for large graphs. However,
the dynamic changes to the graph structures during partitioning lead to increased memory …
the dynamic changes to the graph structures during partitioning lead to increased memory …