{"id":"W2885732802","doi":"10.1145/3233182","title":"An Analytical Cache Performance Evaluation Framework for Embedded Out-of-Order Processors Using Software Characteristics","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Embedded Computing Systems","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Cache; Parallel computing; Cache algorithms; Cache coloring; Cache pollution; Suite; Cache invalidation; Cache-oblivious algorithm; CPU cache; Software; Smart Cache; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001784917,0.0003116231,0.0004616822,0.000324495,0.0005735384,0.0002708655,0.001213227,0.0002434863,0.000005913593],"category_scores_gemma":[0.0004638751,0.0003131047,0.0001165062,0.0008150905,0.0001093973,0.0004632273,0.00003002834,0.0003111071,0.000007154702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001423504,"about_ca_system_score_gemma":0.0003274948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001236404,"about_ca_topic_score_gemma":0.000001297986,"domain_scores_codex":[0.9970828,0.0003444375,0.0008018714,0.0006980185,0.000632505,0.0004403513],"domain_scores_gemma":[0.995828,0.0005456297,0.0005150208,0.001316143,0.001662611,0.0001325798],"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":[0.0001027565,0.0005913102,0.0003978138,0.0003287481,0.0001745406,0.000001104062,0.01032494,0.8793672,0.0003013141,0.003894437,0.00004939714,0.1044665],"study_design_scores_gemma":[0.0003781305,0.0005389067,0.0001646222,0.0004425668,0.00006684953,0.00001061021,0.0001554916,0.9955914,0.00160719,0.0006660155,0.00003635343,0.0003418409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08650207,0.00002142414,0.9106203,0.00005239253,0.001334556,0.0007734221,0.00001046584,0.0006447521,0.00004061736],"genre_scores_gemma":[0.5462823,0.000002536447,0.4534346,0.00006937347,0.0001442428,0.00002396045,0.000008711319,0.00002311932,0.00001121597],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4597802,"threshold_uncertainty_score":0.9999321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07488792703293126,"score_gpt":0.3688907058631187,"score_spread":0.2940027788301874,"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."}}