Published May 12, 2025 | Version v1
Dataset Open

Benchmark Sets and Experimental Results for "Scalable High-Quality Hypergraph Partitioning"

Creators

  • 1. ROR icon Karlsruhe Institute of Technology

Description

  • set_A_M_HG.tar.xz: benchmark set of 488 medium sized hypergraphs. Referenced either as set A or as set M_HG in our publications. HMetis format
  • set_B_L_HG.tar.xz: benchmark set of 94 large hypergraphs. Referenced either as set B or as set L_HG in our publications. HMetis format
  • set_C_M_G.tar.xz: benchmark set of 172 medium sized graphs. Referenced as set M_G in our publications. Metis format
  • set_D_L_G.tar.xz: benchmark set of 53 large graphs. Referenced as set L_G in our publications. Metis format
  • set_A_M_HG.csv: general statistics on the benchmark set of medium sized hypergraphs
  • set_B_M_HG.csv: general statistics on the benchmark set of large hypergraphs
  • set_A_M_HG.csv: general statistics on the benchmark set of medium sized graphs
  • set_A_M_HG.csv: general statistics on the benchmark set of large graphs
  • results_talg.zip: experimental results for our journal article "Scalable High-Quality Hypergraph Partitioning" (ACM Transactions on Algorithms, 2024)
  • results_alenex21.zip: experimental results for our paper "Scalable Shared-Memory Hypergraph Partitioning" (ALENEX 2021)
  • results_alenex22.zip: experimental results for our paper "Shared-Memory n-level Hypergraph Partitioning" (ALENEX 2022)
  • results_sea22.zip: experimental results for our paper "Parallel Flow-Based Hypergraph Partitioning" (SEA 2022)

Files

results_alenex21.zip

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Additional details

Related works

Is supplement to
10.1145/3626527 (DOI)