{"id":"W4214856401","doi":"10.1145/1273440.1250696","title":"Mechanisms for store-wait-free multiprocessors","year":2007,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Carnegie Mellon University","keywords":"Computer science; Scalability; Speculative execution; Parallel computing; Consistency (knowledge bases); Cache coherence; Cache; Consistency model; Rollback; Implementation; Distributed computing; Sequential consistency; Synchronization (alternating current); Weak consistency; Speculation; Out-of-order execution; Eventual consistency; Strong consistency; CPU cache; Data consistency; Operating system; Computer network; Cache algorithms; Channel (broadcasting); Programming language; Database transaction","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":[0.004044966,0.0009603921,0.0007941024,0.001123431,0.001589297,0.002243582,0.005364525,0.001283281,0.006728459],"category_scores_gemma":[0.01021593,0.001275992,0.0006983025,0.0008060134,0.00187889,0.006619628,0.00489409,0.002155737,0.001233822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009264788,"about_ca_system_score_gemma":0.002113857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043625,"about_ca_topic_score_gemma":0.001704785,"domain_scores_codex":[0.9976166,0.0004472166,0.0002993008,0.000349789,0.0009454529,0.0003416114],"domain_scores_gemma":[0.9895705,0.002367251,0.0009332284,0.005442344,0.001283013,0.0004037017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001549524,0.0005525611,0.00605398,0.0009428879,0.0002764496,0.0008359707,0.001456328,0.09177527,0.07981022,0.6218505,0.01939446,0.1755017],"study_design_scores_gemma":[0.0006577736,0.001047233,0.001251598,0.000158065,0.0003131262,0.0005700343,0.0002928985,0.566705,0.08560486,0.2678497,0.07531175,0.0002379466],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1317094,0.00196707,0.8328032,0.001445458,0.0005839411,0.0004865076,0.0002546091,0.01807402,0.0126757],"genre_scores_gemma":[0.7537549,0.0005488723,0.233677,0.0007363245,0.0002710331,0.0007540808,0.0003242547,0.000761196,0.009172433],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006728459,"threshold_uncertainty_score":0.02250898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623284482417857,"score_gpt":0.2718618750697551,"score_spread":0.2556290302455765,"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."}}