{"id":"W2301552806","doi":"10.1145/2892208.2892227","title":"Reducing memory buffering overhead in software thread-level speculation","year":2016,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Rollback; Speculative multithreading; Parallel computing; Scalability; Speculative execution; Compiler; Thread (computing); Software; Overhead (engineering); Speculation; Operating system; Distributed computing; Embedded system; Multithreading; Computer architecture; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000251637,0.00009314982,0.0001035749,0.0001393009,0.00004115346,0.0000559873,0.0003562704,0.00004899023,0.00003333406],"category_scores_gemma":[0.0001036262,0.00006742682,0.00002633772,0.0002897442,0.00001517261,0.0004422885,0.0001653551,0.00005128773,0.00005327254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009066603,"about_ca_system_score_gemma":0.00003841492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007342251,"about_ca_topic_score_gemma":0.00001373805,"domain_scores_codex":[0.9991348,0.00003662788,0.0002020483,0.0002954254,0.000138028,0.0001930777],"domain_scores_gemma":[0.9994025,0.00009542149,0.00005445296,0.0003504344,0.00005695516,0.00004028502],"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":[0.00001548619,0.0001472087,0.01776716,0.00003587317,0.00001781162,0.00003307212,0.001523032,0.03581116,0.008009515,0.1120375,0.00635907,0.8182431],"study_design_scores_gemma":[0.002708684,0.0002175288,0.1460591,0.001285693,0.000006806242,0.00007291789,0.00004800033,0.6013954,0.1618682,0.08317569,0.001314075,0.00184784],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01182539,0.00002820877,0.9803773,0.0005385041,0.0001189717,0.00008237498,3.803682e-7,0.0005476565,0.006481202],"genre_scores_gemma":[0.4615831,0.00001190251,0.5367969,0.00009905915,0.00003035793,0.000002370671,4.651276e-7,0.000005747951,0.001470151],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8163953,"threshold_uncertainty_score":0.2749586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0354181258631118,"score_gpt":0.2666950048441922,"score_spread":0.2312768789810804,"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."}}