{"id":"W2394967315","doi":"","title":"Data-dependence profiling to enable safe thread level speculation","year":2015,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Speculation; Compiler; Speculative execution; Parallel computing; Profiling (computer programming); Speculative multithreading; Thread (computing); Cache; Spec#; Supercomputer; Multithreading; Operating system; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001698208,0.0001555974,0.0001469557,0.0003522716,0.0001872727,0.0006762954,0.00191703,0.00003987114,4.509303e-7],"category_scores_gemma":[0.0005634849,0.0001524512,0.00001331169,0.001266421,0.00004775645,0.001697567,0.001841861,0.0001152893,0.00001512615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008585201,"about_ca_system_score_gemma":0.0002556063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000013537,"about_ca_topic_score_gemma":8.383399e-7,"domain_scores_codex":[0.9981006,0.00001716898,0.0002072801,0.0007121601,0.0005892989,0.0003734579],"domain_scores_gemma":[0.9983103,0.00007831235,0.00004700299,0.0008875988,0.0003578597,0.0003189413],"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":[0.000003181058,0.00003487253,0.002587849,0.00003315997,0.000008664645,0.00002097442,0.001106009,0.8511958,0.0005182254,0.021722,0.002364294,0.120405],"study_design_scores_gemma":[0.00009289249,0.00004726236,0.0008854506,0.00004067433,0.000001482744,0.00002917425,0.000003587081,0.9947913,0.0017565,0.0005026148,0.001624792,0.0002243045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004680281,0.00009744361,0.9935416,0.0001508486,0.00055203,0.0001622433,0.000003387259,0.0007585112,0.00005368546],"genre_scores_gemma":[0.1225315,0.000004019467,0.8771047,0.000201806,0.0001185178,0.000004986161,0.000004256284,0.000007629683,0.00002261152],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1435955,"threshold_uncertainty_score":0.6521532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08294887851926361,"score_gpt":0.2845879590408981,"score_spread":0.2016390805216345,"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."}}