{"id":"W2158753164","doi":"10.1109/ipdps.2001.924959","title":"On-line debugging and performance monitoring with barriers","year":2002,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Debugging; Computer science; POSIX Threads; Operating system; POSIX; SPMD; Construct (python library); Thread (computing); Parallel computing; Embedded 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003460415,0.001502572,0.0008813106,0.001099891,0.000744064,0.00226825,0.00325506,0.001201238,0.004956109],"category_scores_gemma":[0.02028017,0.0009705696,0.0005805513,0.0005763532,0.001342265,0.004683861,0.00331215,0.00269561,0.001747767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006100883,"about_ca_system_score_gemma":0.001536127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001226457,"about_ca_topic_score_gemma":0.0009965739,"domain_scores_codex":[0.9951427,0.001894912,0.0002819604,0.0005551269,0.001630949,0.0004943092],"domain_scores_gemma":[0.9828804,0.005980575,0.001832734,0.00664586,0.002035273,0.0006252559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002200067,0.000678357,0.01940776,0.000988669,0.0001977001,0.001019422,0.002734323,0.04985786,0.09418049,0.08951345,0.03671985,0.7025021],"study_design_scores_gemma":[0.0003125414,0.0007742784,0.004531712,0.0002798256,0.0001734589,0.001652708,0.0002831568,0.5490339,0.2933814,0.05664477,0.09260403,0.0003281722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02978185,0.0002509185,0.9236209,0.0003745637,0.0001442493,0.0001398545,0.0001517516,0.04035086,0.005185027],"genre_scores_gemma":[0.4743459,0.0003204122,0.5068251,0.0004280467,0.0000969834,0.0002756387,0.0005005593,0.01037101,0.006836375],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004956109,"threshold_uncertainty_score":0.01830065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131164798406566,"score_gpt":0.2369948951340403,"score_spread":0.2156832471499746,"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."}}