{"id":"W4290699671","doi":"10.20428/jst.v20i2.937","title":"Design and Implementation of a Chip Multiprocessor with an Efficient Multilevel Cache System","year":2015,"lang":"en","type":"article","venue":"Journal of Science and Technology","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Computer science; Cache; Computer architecture; Cache coherence; Multiprocessing; Parallel computing; Embedded system; Smart Cache; Cache pollution; Cache algorithms; System on a chip; VHDL; Cache-only memory architecture; CPU cache; Cache coloring; Field-programmable gate array","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00163185,0.00006382781,0.000141575,0.0005500665,0.0001043062,0.00005240855,0.0004621401,0.00004287331,9.024834e-8],"category_scores_gemma":[0.00006446857,0.00004379232,0.000005612822,0.0007542278,0.0004509861,0.0003572494,0.0001023444,0.00008892542,9.029966e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003871801,"about_ca_system_score_gemma":0.000370126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001090493,"about_ca_topic_score_gemma":9.058255e-7,"domain_scores_codex":[0.9991099,0.00002679539,0.0002292236,0.0001574844,0.0003433325,0.0001332831],"domain_scores_gemma":[0.9984527,0.00002261746,0.0003299177,0.0001319614,0.0009729759,0.00008985069],"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":[0.0002956614,0.0007343307,0.02792678,0.000291175,0.00009375011,0.0001558914,0.02799761,0.08920599,0.06229826,0.116933,0.0002426357,0.6738249],"study_design_scores_gemma":[0.00105214,0.001979983,0.001336501,0.0000798011,0.000009625174,0.0008226109,0.003075043,0.9267571,0.06408831,0.0006666824,0.00001742491,0.0001148132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4171355,0.00008050978,0.5824681,0.0001805011,0.00002210342,0.00006619326,1.163238e-7,0.00003846471,0.000008548503],"genre_scores_gemma":[0.6375223,0.000004859627,0.3624569,0.000008922358,0.000003712627,0.000001258618,1.961535e-8,0.000001363831,7.239688e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8375511,"threshold_uncertainty_score":0.1785799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896309416377057,"score_gpt":0.2989180895948209,"score_spread":0.2699549954310503,"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."}}