{"id":"W2145230043","doi":"10.1145/2236584.2236586","title":"Reducing OLTP instruction misses with thread migration","year":2012,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Division of Information and Intelligent Systems; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Online transaction processing; Computer science; Cache; Transactional memory; Thread (computing); Serialization; Database transaction; Transaction processing; Parallel computing; Embedded system; Operating system; Database","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":[0.0001338428,0.00007007598,0.00005969173,0.00006856789,0.00009877463,0.00008135091,0.0001721139,0.00003027681,0.000008622185],"category_scores_gemma":[0.0000107886,0.00005249017,0.00001444299,0.0002434885,0.00001423772,0.0007603512,0.00003825905,0.0000477049,0.00001325523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001921162,"about_ca_system_score_gemma":0.00001959522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006447086,"about_ca_topic_score_gemma":0.000005689227,"domain_scores_codex":[0.9994721,0.00002447719,0.00009874565,0.0001361169,0.0001156012,0.0001529655],"domain_scores_gemma":[0.9996005,0.00001721028,0.00005362892,0.0002198901,0.00005675834,0.00005205003],"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":[0.00003462924,0.0004165852,0.06213864,0.00005109081,0.00006368192,0.00000345391,0.007031823,0.02206398,0.00320022,0.3573996,0.02438821,0.523208],"study_design_scores_gemma":[0.00117755,0.0005401801,0.03375619,0.0001881143,0.00002556149,0.0004635725,0.0002351806,0.5631154,0.3678906,0.006526391,0.02472462,0.001356597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0769151,0.00005800464,0.9148651,0.000360282,0.0001253326,0.00005678017,5.627208e-8,0.0006624748,0.006956869],"genre_scores_gemma":[0.5530885,0.000008781181,0.4465503,0.00007188284,0.00005039357,0.00000313025,0.000001159594,0.000002788041,0.0002230601],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5410514,"threshold_uncertainty_score":0.2140487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813186774372141,"score_gpt":0.2509104091992491,"score_spread":0.2327785414555277,"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."}}