{"id":"W4408092675","doi":"10.1109/hipcw63042.2024.00049","title":"Accelerated Multilevel Graph Partitioning on GPUs","year":2024,"lang":"en","type":"article","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Parallel computing; Graph; Graph partition; Theoretical computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002614547,0.0007124409,0.0005903949,0.0007169938,0.0005080497,0.001126194,0.001618418,0.0006092036,0.006362326],"category_scores_gemma":[0.001628315,0.0003395767,0.0007425893,0.001342507,0.0003135217,0.00115871,0.000884525,0.0009982554,0.001625616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009333467,"about_ca_system_score_gemma":0.001033319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01392223,"about_ca_topic_score_gemma":0.02573994,"domain_scores_codex":[0.9996742,0.00005312723,0.00001917034,0.00006928629,0.0001333683,0.00005088675],"domain_scores_gemma":[0.9993962,0.0001458907,0.00003382607,0.0001989444,0.0001837319,0.00004141336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008975429,0.0003411125,0.005154259,0.0006559057,0.0002713642,0.0004961293,0.0004859323,0.3886787,0.08278879,0.02819653,0.06601975,0.4260141],"study_design_scores_gemma":[0.00008288384,0.00006061737,0.00108125,0.00001492293,0.00001368135,0.00008720448,0.0000664535,0.9688219,0.01069964,0.006844813,0.01221156,0.00001504099],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2128913,0.001406735,0.7139905,0.001057982,0.0004994239,0.0001852215,0.002322183,0.03988143,0.02776518],"genre_scores_gemma":[0.414471,0.0003986026,0.5736772,0.0003117766,0.0000511414,0.0001508204,0.003582729,0.001265152,0.006091511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01392223,"threshold_uncertainty_score":0.02768242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455956246273204,"score_gpt":0.2733290310598424,"score_spread":0.2387694685971104,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}