{"id":"W2291811177","doi":"10.1109/socc.2015.7406990","title":"Exploiting multi-band transmission line interconnects to improve the efficiency of cache coherence in multiprocessor system-on-chip","year":2015,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Computer science; MESI protocol; Cache coherence; Indirection; Cache algorithms; Cache; Cache invalidation; MESIF protocol; Smart Cache; Parallel computing; Bus sniffing; Cache pollution; Coherence (philosophical gambling strategy); CPU cache; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002394966,0.0003031477,0.0001851654,0.0004197869,0.00027668,0.0004462494,0.0003877052,0.0002336142,0.0008030541],"category_scores_gemma":[0.0005903663,0.000164753,0.0001426088,0.0006781142,0.0002019936,0.0009682406,0.000293721,0.0003375563,0.0001742229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002557054,"about_ca_system_score_gemma":0.0002990327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007728983,"about_ca_topic_score_gemma":0.002909356,"domain_scores_codex":[0.999863,0.0000503178,0.000008388468,0.00001672809,0.00003443285,0.00002711133],"domain_scores_gemma":[0.9995918,0.000113886,0.00008561963,0.00009267644,0.00009848181,0.00001754185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000485104,0.0002930382,0.007535195,0.0004725929,0.0001314164,0.0004407072,0.0004801222,0.2342332,0.5113466,0.01430819,0.003251817,0.2270219],"study_design_scores_gemma":[0.00007177438,0.001398425,0.003595104,0.0000583299,0.0001682666,0.0004630323,0.0001759106,0.7386782,0.2348196,0.003249849,0.01726517,0.0000564296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7604578,0.002435416,0.2293275,0.0004095325,0.00006194126,0.00002886636,0.00004063854,0.001592935,0.005645429],"genre_scores_gemma":[0.9455995,0.0004637988,0.05227555,0.00003440991,0.00002859813,0.00001596335,0.00005477319,0.00005827768,0.001469175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008030541,"threshold_uncertainty_score":0.002686501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04653224467067935,"score_gpt":0.2905265363844138,"score_spread":0.2439942917137344,"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."}}