{"id":"W2148501376","doi":"10.1109/icpp.2000.876165","title":"The NUMAchine multiprocessor","year":2002,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cache coherence; Multiprocessing; Scalability; Directory; Modular design; Exploit; Parallel computing; Computer architecture; Protocol (science); Sequential consistency; Node (physics); MESI protocol; Consistency (knowledge bases); Cache; Distributed computing; Consistency model; CPU cache; Operating system; Cache algorithms; Data consistency","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":[0.0007610252,0.0004901068,0.0006049987,0.0006602785,0.00103612,0.001467096,0.0009869039,0.0007832731,0.01888004],"category_scores_gemma":[0.003120469,0.0005378095,0.0002718491,0.001036596,0.000715138,0.001421675,0.002197813,0.001952012,0.008118958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007077958,"about_ca_system_score_gemma":0.00146568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007936807,"about_ca_topic_score_gemma":0.001164994,"domain_scores_codex":[0.9990558,0.0002555612,0.0000631309,0.0001608454,0.0003889651,0.00007574401],"domain_scores_gemma":[0.9991338,0.0001068269,0.00005770631,0.0002502773,0.000283361,0.0001681799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005687809,0.0001436111,0.002238147,0.0005554518,0.00009693063,0.0004427835,0.0004044407,0.02461548,0.02739713,0.2294986,0.1705376,0.543501],"study_design_scores_gemma":[0.0002878742,0.0003138155,0.001342774,0.0001283337,0.00005686739,0.0006269553,0.00006405588,0.08656619,0.02034872,0.0464563,0.8437352,0.00007300776],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03533098,0.01298281,0.6252372,0.005390744,0.003042252,0.0009601553,0.001901133,0.02233768,0.2928171],"genre_scores_gemma":[0.2115083,0.0040535,0.632757,0.001342852,0.0006101007,0.001798275,0.00289582,0.001029256,0.1440049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01888004,"threshold_uncertainty_score":0.06316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811732964448423,"score_gpt":0.2408089089155059,"score_spread":0.2226915792710217,"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."}}