{"id":"W2007053448","doi":"10.1109/tc.2012.52","title":"Designing a Physical Locality Aware Coherence Protocol for Chip-Multiprocessors","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Computers","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; University of Cambridge; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Computer science; Cache coherence; MESI protocol; Efficient energy use; Exploit; Locality; Latency (audio); Cache; Multiprocessing; Energy consumption; Chip; Multi-core processor; Protocol (science); Bus sniffing; Parallel computing; CPU cache; Cache algorithms; Telecommunications","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":[0.001617057,0.000362653,0.0003438033,0.0005275491,0.0008981767,0.000932831,0.001034479,0.0006755019,0.0008765416],"category_scores_gemma":[0.003754274,0.0004562279,0.0002268934,0.0005274176,0.0009018605,0.0020309,0.0008532188,0.0007369291,0.0002245519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007547098,"about_ca_system_score_gemma":0.001403396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007669615,"about_ca_topic_score_gemma":0.001742119,"domain_scores_codex":[0.9991215,0.0003230979,0.00008564409,0.0000933827,0.0002794171,0.00009702535],"domain_scores_gemma":[0.9981532,0.0007585303,0.0003106215,0.0003083507,0.0004014302,0.00006781658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006776013,0.000568133,0.006509115,0.001061601,0.0001858098,0.0005361679,0.001036963,0.3748727,0.2632664,0.1022203,0.005195615,0.2438696],"study_design_scores_gemma":[0.000174761,0.0006886913,0.0006560202,0.00004075325,0.00009217958,0.0002426125,0.0002091716,0.905634,0.06979576,0.0115139,0.01090725,0.00004486035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1056387,0.000901764,0.8892296,0.0006275229,0.0000568855,0.0004113524,0.00003490305,0.0008374492,0.002261806],"genre_scores_gemma":[0.7532463,0.0004882001,0.2437163,0.0001957082,0.00006645003,0.0005930057,0.00009487027,0.00009021231,0.001508945],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001617057,"threshold_uncertainty_score":0.008551955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04833595714627392,"score_gpt":0.3295646232442594,"score_spread":0.2812286660979855,"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."}}