{"id":"W1982078374","doi":"10.1145/1189736.1189737","title":"Specifying memory consistency of write buffer multiprocessors","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Computer Systems","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Consistency model; Cache coherence; Sequential consistency; Write buffer; Parallel computing; Memory model; Consistency (knowledge bases); Scalability; Shared memory; Out-of-order execution; Multiprocessing; Weak consistency; Equivalence (formal languages); Causal consistency; Abstraction; Programming language; Strong consistency; CPU cache; Correctness; Operating system; Cache","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":[0.0007786175,0.0002310677,0.0003593845,0.0004329882,0.0002279607,0.000120322,0.001280256,0.0001283127,0.000006005117],"category_scores_gemma":[0.0000152933,0.0002243885,0.0001504745,0.0006455273,0.00006751582,0.0003120255,0.00003983071,0.0002358829,0.00002624503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006088552,"about_ca_system_score_gemma":0.00005383069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000874835,"about_ca_topic_score_gemma":0.000006774579,"domain_scores_codex":[0.9979588,0.0001037484,0.0006991861,0.0004866509,0.0004057755,0.000345847],"domain_scores_gemma":[0.9977698,0.0004357099,0.0002397429,0.001149348,0.0002794309,0.0001260102],"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":[0.0000953001,0.001228189,0.0005078886,0.0006670032,0.0003635148,0.0001116449,0.005406896,0.4847915,0.001240638,0.01354861,0.002771746,0.4892671],"study_design_scores_gemma":[0.001769623,0.000689003,0.001648717,0.0008067783,0.00004141455,0.0002690752,0.0002262775,0.9518289,0.03547521,0.0005369126,0.005580589,0.001127479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002931913,0.0002276559,0.9923697,0.0001272482,0.00208157,0.0003005303,0.000003270919,0.0007168188,0.00124133],"genre_scores_gemma":[0.6857643,0.00002048683,0.3137116,0.0001144098,0.0001457839,0.000009351115,0.00000125357,0.00001506405,0.0002177912],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6828323,"threshold_uncertainty_score":0.9150296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02920206529287197,"score_gpt":0.2672635606577219,"score_spread":0.2380614953648499,"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."}}