{"id":"W1497408952","doi":"10.1109/pact.1996.552669","title":"Bulk Synchronous Parallel: practical experience with a model for parallel computing","year":2002,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Parallel computing; Bulk synchronous parallel; Computer science; Parallel algorithm","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":[0.002805722,0.000926057,0.0006329498,0.0006064536,0.001068664,0.002977285,0.002217607,0.001142831,0.004369262],"category_scores_gemma":[0.005497905,0.000810004,0.0006772598,0.001296539,0.003319794,0.006245221,0.001613335,0.00348905,0.001519974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001777962,"about_ca_system_score_gemma":0.001517222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001620606,"about_ca_topic_score_gemma":0.001011935,"domain_scores_codex":[0.9982067,0.000747341,0.00007838511,0.0002271291,0.0006438369,0.00009647244],"domain_scores_gemma":[0.9979286,0.001060475,0.0000497022,0.0005739125,0.0003047473,0.00008253195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001833538,0.00007486431,0.0005026609,0.0002545885,0.00003127399,0.0001507169,0.0007912063,0.09233446,0.004152933,0.8154766,0.01009076,0.07595664],"study_design_scores_gemma":[0.00008752182,0.0001627677,0.0001398552,0.00007891074,0.00002846093,0.0002438974,0.0001325112,0.3631218,0.007668317,0.5323439,0.09594988,0.0000422249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01060028,0.001101084,0.9599183,0.001997418,0.0001677152,0.00008619163,0.00004443209,0.0009743412,0.02511026],"genre_scores_gemma":[0.2935962,0.003791921,0.6865609,0.000724532,0.0003065253,0.0004819515,0.0001651343,0.0007844712,0.01358831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004369262,"threshold_uncertainty_score":0.01483828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04892205532367622,"score_gpt":0.3029319557329171,"score_spread":0.2540099004092409,"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."}}