{"id":"W4255025547","doi":"10.1145/1837853.1693465","title":"Scheduling support for transactional memory contention management","year":2010,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Transactional memory; Scheduling (production processes); Implementation; Database transaction; Transactional leadership; Distributed computing; Operating system; Transaction processing; Software transactional memory; Linux kernel; Parallel computing; Database; 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":[0.0003226353,0.000104157,0.0001218101,0.00005355284,0.000145287,0.0001688397,0.0007905365,0.00005938813,0.00004296401],"category_scores_gemma":[0.00002866653,0.00009661215,0.00007511684,0.00009911389,0.00002377288,0.0004675913,0.00004605995,0.0001103237,0.00005596018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009275853,"about_ca_system_score_gemma":0.0000198741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000144616,"about_ca_topic_score_gemma":0.00003815868,"domain_scores_codex":[0.9990463,0.0000125954,0.0002105277,0.000299585,0.0002112989,0.0002197234],"domain_scores_gemma":[0.9991978,0.0001014359,0.00009300392,0.0004615897,0.00007726758,0.00006883699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002293844,0.0006680642,0.001986553,0.0009843914,0.0005003483,0.0001224852,0.00170528,0.003497582,0.03229184,0.5146673,0.008627482,0.4347192],"study_design_scores_gemma":[0.009174037,0.0008883647,0.04015062,0.0002855382,0.0002422031,0.0001686284,0.001396622,0.3664845,0.01600786,0.01558007,0.5472813,0.002340254],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06168998,0.00003484794,0.9286367,0.001035062,0.002773377,0.0004310073,0.0000542498,0.0001806517,0.005164182],"genre_scores_gemma":[0.9109187,0.000001925019,0.08789027,0.0001792646,0.000143987,0.00005549867,0.00003952323,0.00000633102,0.0007645747],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8492287,"threshold_uncertainty_score":0.3939729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021303330482788,"score_gpt":0.2651542776782818,"score_spread":0.2449412443734539,"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."}}