{"id":"W2466649529","doi":"10.1145/2935764.2935796","title":"Investigating the Performance of Hardware Transactions on a Multi-Socket Machine","year":2016,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scalability; Transactional memory; Bandwidth throttling; Lock (firearm); Thread (computing); Operating system; Synchronization (alternating current); Speculative execution; Hypervisor; Embedded system; Yarn; Computer hardware; Parallel computing; Database transaction; Cloud computing; Virtualization; Database; Computer network","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":[0.0001847665,0.0000799141,0.00009901963,0.00002318699,0.0001234149,0.00002656815,0.0004923733,0.00002610521,0.00002614849],"category_scores_gemma":[0.00001358318,0.00003605209,0.00004721106,0.000184319,0.00005514963,0.0002225365,0.00001390318,0.00006401127,0.00003633968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001453361,"about_ca_system_score_gemma":0.00002607197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004515642,"about_ca_topic_score_gemma":0.00002463702,"domain_scores_codex":[0.9993024,0.00003638028,0.0001883919,0.0001643927,0.0001693671,0.000138997],"domain_scores_gemma":[0.9993586,0.00007886095,0.00007273022,0.000391372,0.00005415665,0.00004431538],"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":[0.00001239332,0.0003279178,0.008932202,0.000125334,0.00008368685,0.000003210899,0.003223475,0.001871616,0.02740839,0.0244098,0.002213707,0.9313883],"study_design_scores_gemma":[0.001762491,0.0003275002,0.01896522,0.0005964004,0.000009304278,0.00002694872,0.00009621925,0.8662422,0.0977062,0.000140687,0.01372515,0.0004016935],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06537768,0.00002868884,0.9319241,0.001654892,0.0001478537,0.0001044071,0.00002780098,0.00007374439,0.0006608027],"genre_scores_gemma":[0.9900988,0.000007491671,0.007801911,0.0002009124,0.00001167003,0.00001366602,3.848999e-7,0.000003656885,0.001861512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9309866,"threshold_uncertainty_score":0.1470162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463237911738203,"score_gpt":0.2442947847730927,"score_spread":0.2196624056557107,"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."}}