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Benchmark Sets and Experimental Results for "Parallel Unconstrained Local Search for Partitioning Irregular Graphs"

Maas, Nikolai ORCID iD icon 1; Gottesbüren, Lars; Seemaier, Daniel 1
1 Institut für Theoretische Informatik (ITI), Karlsruher Institut für Technologie (KIT)

Abstract:

set_r.tar.xz: benchmark set of 33 large regular graphs (i.e., graphs with low degree variance, such as mesh graphs). Referenced as set R or in our publications. All graphs are unweighted and in Metis format

set_i.tar.xz: benchmark set of 38 large irregular graphs (i.e., graphs with high degree variance, such as social networks). Referenced as set I or in our publications. The recomp_XXX instances have edge weights, while the remaining graphs are unweighted. Metis format

stats_regular.csv: general statistics on the benchmark set of regular graphs

stats_irregular.csv: general statistics on the benchmark set of irregular graphs

results_alenex24.zip: experimental results for our paper "Parallel Unconstrained Local Search for Partitioning Irregular Graphs" (ALENEX 2024)

results_acda25.zip: experimental results for our paper "Deterministic Parallel High-Quality Hypergraph Partitioning" (ACDA 2025)


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Originalveröffentlichung
DOI: 10.5281/zenodo.15386627
Zugehörige Institution(en) am KIT Institut für Theoretische Informatik (ITI)
Publikationstyp Forschungsdaten
Publikationsjahr 2025
Identifikator KITopen-ID: 1000186960
HGF-Programm 46.21.02 (POF IV, LK 01) Cross-Domain ATMLs and Research Groups
Lizenz Creative Commons Namensnennung 4.0 International
Art der Forschungsdaten Dataset
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