{"id":"W2114822644","doi":"10.1109/date.2005.286","title":"Symmetric Multiprocessing on Programmable Chips Made Easy","year":2005,"lang":"en","type":"article","venue":"Design, Automation, and Test in Europe","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Uniprocessor system; Multiprocessing; Computer science; Vendor; Embedded system; Cache; Parallel computing; Symmetric multiprocessor 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":[],"consensus_categories":[],"category_scores_codex":[0.0005325191,0.0001428923,0.0001307741,0.0003744088,0.0001826353,0.0003150151,0.0003413691,0.00004766416,0.000002259056],"category_scores_gemma":[0.0005451716,0.0001320654,0.00001491961,0.001542749,0.00002850964,0.0004554119,0.00006101839,0.0001172428,0.00003412771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000297984,"about_ca_system_score_gemma":0.00005604279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006993288,"about_ca_topic_score_gemma":0.00000104212,"domain_scores_codex":[0.9988412,0.0001291441,0.0002756039,0.0003384746,0.0001830632,0.0002325671],"domain_scores_gemma":[0.9991027,0.0003411879,0.0001153275,0.0002434623,0.0001321556,0.00006517983],"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":[0.00001082573,0.0008189064,0.0123917,0.00008165396,0.0000112425,0.0000249425,0.001618703,0.08574014,0.0004733394,0.02882227,0.00177631,0.86823],"study_design_scores_gemma":[0.0002993429,0.0001189628,0.01857795,0.00006626974,0.000001957898,0.00001547691,0.000001999296,0.9739419,0.001897472,0.0004156669,0.004473189,0.0001898755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006256559,0.0002620097,0.9881316,0.0003604161,0.00004875246,0.000255412,4.362914e-7,0.001152944,0.003531874],"genre_scores_gemma":[0.5346311,0.00006904189,0.4645616,0.0002857348,0.0000451643,0.00001408806,0.000002503755,0.00001227627,0.0003785868],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8882017,"threshold_uncertainty_score":0.5385471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02371115203429529,"score_gpt":0.2535368703419291,"score_spread":0.2298257183076338,"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."}}