{"id":"W4239826705","doi":"10.1109/micro.2016.7783714","title":"MIMD synchronization on SIMT architectures","year":2016,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; MIMD; Compiler; Parallel computing; Control flow; Synchronization (alternating current); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008592969,0.0004589665,0.000340988,0.0007863115,0.000713909,0.0008033357,0.001181719,0.0003353781,0.002846536],"category_scores_gemma":[0.0023196,0.0004148647,0.0005025388,0.0009075168,0.000886382,0.001713236,0.001276382,0.0007052514,0.0006294526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136473,"about_ca_system_score_gemma":0.001199807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00230145,"about_ca_topic_score_gemma":0.002980439,"domain_scores_codex":[0.9989344,0.000284868,0.00007014305,0.0002119579,0.0003745398,0.0001241172],"domain_scores_gemma":[0.9985194,0.000348185,0.000183068,0.0006687493,0.0002373206,0.00004331894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00122026,0.0001718785,0.01289561,0.0006332741,0.0001499565,0.001002011,0.0008362273,0.257359,0.1302506,0.1684785,0.01856265,0.4084402],"study_design_scores_gemma":[0.00007244255,0.0002264362,0.001918487,0.00005175947,0.00005404894,0.0003294784,0.0001113516,0.7932318,0.1353309,0.04205399,0.02656895,0.00005035594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1365122,0.0006291019,0.8244499,0.0003395665,0.0001612307,0.0001045813,0.0002368904,0.02235015,0.01521643],"genre_scores_gemma":[0.7337836,0.000339648,0.2591765,0.0002530823,0.00004995529,0.0001593453,0.0003868185,0.001241924,0.004609221],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002846536,"threshold_uncertainty_score":0.009522617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01021068986332004,"score_gpt":0.2412118442536303,"score_spread":0.2310011543903103,"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."}}