{"id":"W4247152190","doi":"10.7873/date2014.041","title":"Minimizing stack memory for hard real-time applications on multicore platforms","year":2014,"lang":"en","type":"article","venue":"Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Preemption; Computer science; Multi-core processor; Scheduling (production processes); Distributed computing; Parallel computing; Integer programming; Dynamic priority scheduling; Heuristic; Embedded system; Mathematical optimization; Algorithm; Quality of service; Operating system; Computer network","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":[0.0008388606,0.0009911229,0.0006253399,0.000679273,0.0004964325,0.0009770842,0.0006684092,0.0005066847,0.001108266],"category_scores_gemma":[0.001965796,0.0003499337,0.0003354262,0.0006512096,0.0004575414,0.000849771,0.0006164564,0.0005327815,0.0001430373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119995,"about_ca_system_score_gemma":0.00178628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004882379,"about_ca_topic_score_gemma":0.007245755,"domain_scores_codex":[0.9996222,0.00012608,0.00001304645,0.00004160652,0.00008829284,0.0001087387],"domain_scores_gemma":[0.9993382,0.0003834041,0.00009866645,0.0000392781,0.00007300729,0.00006744573],"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":[0.0001658761,0.00008911394,0.0008255561,0.0001502332,0.00002562656,0.00007838543,0.00006617751,0.9509482,0.01347971,0.003498639,0.0005500275,0.03012243],"study_design_scores_gemma":[0.0000143185,0.0001257982,0.0005006772,0.000007557519,0.00001621541,0.000019384,0.00005779818,0.9918872,0.004769949,0.002209494,0.0003848711,0.000006771151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6850649,0.002083586,0.3028372,0.0005025277,0.00004449735,0.0001577511,0.00008837372,0.0006157245,0.008605402],"genre_scores_gemma":[0.9361589,0.0003696162,0.06187369,0.00004885725,0.0000106941,0.00005946275,0.00005503997,0.00009873502,0.001324991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004882379,"threshold_uncertainty_score":0.009707868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06643841776005163,"score_gpt":0.2872892765267359,"score_spread":0.2208508587666843,"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."}}