{"id":"W21782772","doi":"10.1016/j.cgh.2011.07.007","title":"A Composable Model for Analyzing Locality of Multi-threaded Programs","year":2009,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Thread (computing); Interleaving; Locality; Parallel computing; Cache; Scalability; Cache invalidation; Distributed computing; CPU cache; Locality of reference; Operating system; Cache algorithms","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002720175,0.00008614196,0.0001670432,0.0000583092,0.00006121425,0.00005166922,0.0004550693,0.00004257256,4.598411e-7],"category_scores_gemma":[0.00001221657,0.00007244421,0.00007579891,0.0002334967,0.00002179355,0.0001563999,0.00005105255,0.0000408893,7.105604e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001391999,"about_ca_system_score_gemma":0.0000339445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001288496,"about_ca_topic_score_gemma":0.000002111887,"domain_scores_codex":[0.9992521,0.00001943293,0.0002320492,0.0002228274,0.00009666534,0.0001768916],"domain_scores_gemma":[0.999375,0.00002508975,0.00008743613,0.0003124553,0.0001529082,0.00004706451],"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":[0.00002244589,0.0008482686,0.0007361142,0.00004194045,0.00002358885,6.419571e-7,0.0006567164,0.6620526,0.0009364202,0.171045,0.001208732,0.1624275],"study_design_scores_gemma":[0.0002451548,0.00009363546,0.00005533053,0.00001337065,0.000002619513,6.935374e-7,0.000002340236,0.9869102,0.005588758,0.006964661,0.0000321778,0.00009102916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006745533,0.00003576523,0.9976969,0.0002670376,0.0000140001,0.0002572236,5.862273e-7,0.0005061724,0.0005477917],"genre_scores_gemma":[0.4692671,0.000001884317,0.5305099,0.00009194092,0.000003266591,0.000004748399,0.000002081003,0.000001618622,0.0001175016],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4685925,"threshold_uncertainty_score":0.2954189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06524775815578802,"score_gpt":0.3181874630060059,"score_spread":0.2529397048502178,"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."}}