{"id":"W2101209730","doi":"10.1145/2155620.2155655","title":"Hardware transactional memory for GPU architectures","year":2011,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Transactional memory; Parallel computing; Thread (computing); Cache coherence; Exploit; Instruction set; Cache; Operating system; CPU cache; Database transaction; Programming language","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":[0.0000960242,0.00007753058,0.00009198705,0.00003137321,0.00007737998,0.00003616809,0.0004101541,0.00003401141,0.0001224336],"category_scores_gemma":[0.000005403695,0.00006065001,0.00008142831,0.00007959662,0.00001766386,0.0001020414,0.00001439663,0.00004657094,0.00002756138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008223989,"about_ca_system_score_gemma":0.00002878925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004327105,"about_ca_topic_score_gemma":0.00001898021,"domain_scores_codex":[0.9993623,0.00001236481,0.000124952,0.0002157897,0.0001173989,0.0001671509],"domain_scores_gemma":[0.9995977,0.00002648888,0.00002711555,0.000235258,0.00005340993,0.00006000228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009665433,0.0003620554,0.0002956116,0.0001403365,0.0001405975,0.00002342128,0.006026002,0.000563408,0.001470416,0.4596145,0.04085789,0.490409],"study_design_scores_gemma":[0.005204043,0.0008985086,0.03685081,0.0001391469,0.00004164233,0.0003492124,0.0005224189,0.1783212,0.08404906,0.09603627,0.595346,0.002241745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001174237,0.00005033135,0.9699451,0.0001995072,0.0003828753,0.0001552562,0.00002451403,0.000148333,0.02791983],"genre_scores_gemma":[0.9143897,6.301293e-7,0.08219098,0.0003391376,0.00007648848,0.00006120984,0.000003845707,0.000005497761,0.002932505],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9132155,"threshold_uncertainty_score":0.2473236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03282252343404647,"score_gpt":0.2356508613346849,"score_spread":0.2028283379006384,"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."}}