{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112653,0.00004597878,0.00003557603,0.00001720667,0.0002473328,0.0001465375,0.0006440908,0.00001507989,0.00002242467],"category_scores_gemma":[0.00003502145,0.00002626451,0.00001959176,0.0001614135,0.000017392,0.0001125463,0.00009862673,0.00004910143,0.0001022256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005382602,"about_ca_system_score_gemma":0.000002617422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004551171,"about_ca_topic_score_gemma":0.000001487641,"domain_scores_codex":[0.9995729,0.00001914256,0.00008403253,0.0001158126,0.00009326999,0.0001148146],"domain_scores_gemma":[0.9995567,0.00007409672,0.00002568358,0.0002796174,0.00003701292,0.00002685492],"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":[0.00000119693,0.00008488178,0.0002805869,0.000003597831,0.00001104363,0.000003658881,0.0007000656,0.002945877,0.00006369795,0.3439199,0.1472089,0.5047766],"study_design_scores_gemma":[0.00005454218,0.0000112763,0.0000842115,0.000001253796,2.49464e-7,0.000003618464,0.000001808392,0.9679447,0.0004028951,0.002370181,0.02907614,0.00004907471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001188574,0.0001907735,0.9466773,0.003619893,0.00006816191,0.00003863684,4.463468e-8,0.0006990134,0.04858737],"genre_scores_gemma":[0.7061299,0.000106501,0.2819379,0.0006565266,0.00002099277,0.000006789567,1.272454e-7,0.000003404814,0.01113781],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9649989,"threshold_uncertainty_score":0.1902309,"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."}}