{"id":"W2150475116","doi":"10.1109/ipdps.2007.370577","title":"Incorporating Latency in Heterogeneous Graph Partitioning","year":2007,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Polygon mesh; Parallel computing; Latency (audio); Graph partition; Bandwidth (computing); Distributed computing; Graph; Theoretical computer science; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001174871,0.0007254262,0.0005283326,0.0007328528,0.0005806792,0.0008042848,0.0008514383,0.0006419858,0.0006343377],"category_scores_gemma":[0.007848652,0.0003715391,0.0003821899,0.001040013,0.0004994712,0.002231638,0.0009495383,0.0005551536,0.0001387184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251526,"about_ca_system_score_gemma":0.0009587768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008168045,"about_ca_topic_score_gemma":0.008342147,"domain_scores_codex":[0.9994868,0.0001926682,0.00002103871,0.00007870074,0.0001300098,0.00009071583],"domain_scores_gemma":[0.9971077,0.001888782,0.0002515179,0.0003495121,0.0003034961,0.00009902711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007067028,0.00002257543,0.001087389,0.00002164777,0.00001243646,0.00005649699,0.00005395502,0.9701028,0.002837403,0.006126994,0.0001940015,0.01941353],"study_design_scores_gemma":[0.000004894791,0.0000136396,0.0001811413,0.000002053309,0.000006289131,0.00001253413,0.00001157541,0.9938818,0.00134041,0.004328706,0.0002120394,0.000004938496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.216233,0.0005350497,0.7792932,0.0002641719,0.00007101976,0.00005281637,0.00008222989,0.0009167626,0.002551737],"genre_scores_gemma":[0.9108133,0.0003082728,0.08711866,0.00005721747,0.0000388823,0.00005388244,0.000108903,0.0002409609,0.001259915],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008168045,"threshold_uncertainty_score":0.01624101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527742610058584,"score_gpt":0.2395786952111069,"score_spread":0.2243012691105211,"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."}}