{"id":"W2095319311","doi":"10.1145/2663345","title":"Revisiting the Complexity of Hardware Cache Coherence and Some Implications","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Architecture and Code Optimization","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Illinois at Urbana-Champaign; Defense Advanced Research Projects Agency; National Science Foundation; Ministère de l'Économie, de la Science et de l'Innovation - Québec; Microelectronics Advanced Research Corporation; Qualcomm; Division of Computing and Communication Foundations; Semiconductor Research Corporation","keywords":"Computer science; Cache coherence; Correctness; Protocol (science); Model checking; Exploit; Software; Formal verification; Coherence (philosophical gambling strategy); Embedded system; Programming complexity; Cache; Theoretical computer science; Distributed computing; Parallel computing; Programming language; CPU cache; Software development; Cache algorithms; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002300487,0.0001191373,0.0001392675,0.0000930314,0.000425736,0.00008635976,0.0004163133,0.00005116579,0.000004889396],"category_scores_gemma":[0.00005936716,0.00009095575,0.0000347079,0.0002584616,0.0001956779,0.0001437582,0.00003223274,0.0001677325,4.979621e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008441675,"about_ca_system_score_gemma":0.00001808346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001362485,"about_ca_topic_score_gemma":0.000006200214,"domain_scores_codex":[0.9991494,0.0001383892,0.0002056543,0.0002718404,0.0001112419,0.0001234228],"domain_scores_gemma":[0.9989612,0.0002350531,0.0001161178,0.0005518304,0.00008536973,0.00005038981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006216876,0.00001841833,0.00005516141,0.00002205325,0.00001311801,6.956203e-8,0.0004816586,0.7369547,0.0001008203,0.02134828,0.0000151414,0.2409843],"study_design_scores_gemma":[0.0002724532,0.0001008058,0.001883231,0.00007272534,0.00002607593,0.00002674934,0.00002294135,0.9529589,0.001307204,0.04249303,0.0006385063,0.0001974024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005008171,0.00009973741,0.988579,0.01014455,0.0000262312,0.0001758368,0.0000120782,0.0001638562,0.0002978984],"genre_scores_gemma":[0.5407024,0.0001335759,0.4586446,0.0004310636,0.00002486796,0.00001956712,0.000006014667,0.000007120313,0.00003077513],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5402016,"threshold_uncertainty_score":0.3709068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960204720697915,"score_gpt":0.2612191057671024,"score_spread":0.2316170585601232,"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."}}