{"id":"W2081373884","doi":"10.1145/1543753.1543756","title":"Dynamic warp formation","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Architecture and Code Optimization","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; SIMD; Parallel computing; Thread (computing); Instruction set; Control flow; Massively parallel; Operating system; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001029064,0.0001511784,0.0001177479,0.000248702,0.0003025597,0.000138221,0.0003879389,0.0000810073,0.000009747547],"category_scores_gemma":[0.00001649001,0.0001405694,0.00004791833,0.0003813926,0.00002104977,0.0003855882,0.000008739476,0.0001758762,0.000004478177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002932128,"about_ca_system_score_gemma":0.00001779506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001413719,"about_ca_topic_score_gemma":0.00000510537,"domain_scores_codex":[0.9991217,0.00005645851,0.000198571,0.0002878962,0.0001617369,0.0001736857],"domain_scores_gemma":[0.9992784,0.00005058119,0.00007098247,0.0004718527,0.0000585427,0.00006966626],"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":[0.000008562532,0.0000352371,3.915565e-7,0.000002879666,0.000003385102,6.675683e-7,0.0002764218,0.7404379,0.00004897194,0.0004957302,0.00003003551,0.2586599],"study_design_scores_gemma":[0.0002553124,0.0002146274,0.00006315645,0.00002379803,0.00000823251,0.00003716673,0.000007513095,0.9886312,0.0009174798,0.009163249,0.0005051839,0.0001730462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002135963,0.00006017276,0.9930213,0.005051643,0.00006334439,0.0001775282,0.000004246989,0.0006502168,0.0007579398],"genre_scores_gemma":[0.3250861,0.0001990764,0.6735979,0.0009576234,0.000007099462,0.000008934488,0.00001236957,0.000006453108,0.000124404],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3248726,"threshold_uncertainty_score":0.5732253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008459880391551905,"score_gpt":0.2408106908086553,"score_spread":0.2323508104171034,"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."}}