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More Recent Advances in (Hyper)Graph Partitioning

delete2023-03-02
delete20
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OA
AI
Ü
Ümit V. Çatalyürek *
K
Karen Devine
M
Marcelo Fonseca Faraj
L
Lars Gottesbüren
T
Tobias Heuer
H
Henning Meyerhenke
P
Peter Sanders
S
Sebastian Schlag
C
Christian Schulz
D
Daniel Seemaier
D
Dorothea Wagner
DOI:10.1145/3571808delete
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Abstract

Abstract

En 中文
In recent years, significant advances have been made in the design and evaluation of balanced (hyper)graph partitioning algorithms. We survey trends of the past decade in practical algorithms for balanced (hyper)graph partitioning together with future research directions. Our work serves as an update to a previous survey on the topic [29]. In particular, the survey extends the previous survey by also covering hypergraph partitioning and has an additional focus on parallel algorithms.
Keywords:
Graph partitioning
hypergraph partitioning
load balancing

Journal

ACM Computing Surveys cover
ACM Computing Surveys
IF:
28
Papers:
2.4K
Citations:
3.5W

Organization

G
Georgia Institute of Technology
Scholars:
1.8W
Papers: 1.4W
Citations: 5.9W
R
Ruprecht Karls University Heidelberg
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5.6W
Papers: 4.3W
Citations: 66
U
university system of georgia
Scholars:
7.3W
Papers: 6.5W
Citations: 101
H
Helmholtz Association
Scholars:
13.2W
Papers: 10.7W
Citations: 145
U
united states department of energy (doe)
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11.3W
Papers: 9.6W
Citations: 246
S
Sandia National Laboratories
Scholars:
5.4K
Papers: 3.7K
Citations: 6.4K
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