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

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)