{"id":"W4249831684","doi":"10.1109/micro.2016.7783708","title":"Data-centric execution of speculative parallel programs","year":2016,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; National Science Foundation","keywords":"Computer science; Exploit; Locality; Scalability; Speculative multithreading; Serialization; Parallel computing; Scheduling (production processes); Speculative execution; Distributed computing; Multi-core processor; Task parallelism; Parallelism (grammar); Multithreading; Operating system; Thread (computing); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000729053,0.0004668334,0.0002735792,0.0002702778,0.0004319095,0.0007286755,0.001145662,0.0003235361,0.000928756],"category_scores_gemma":[0.002738705,0.0004023408,0.0003305508,0.0003588767,0.000810614,0.001161414,0.0008887161,0.0008025083,0.0002593629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006149166,"about_ca_system_score_gemma":0.001408123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001800269,"about_ca_topic_score_gemma":0.003603449,"domain_scores_codex":[0.9995554,0.00009964011,0.00003595843,0.000079831,0.000159702,0.00006945732],"domain_scores_gemma":[0.9981325,0.0006021598,0.0002392984,0.0007062475,0.0002272736,0.0000925168],"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":[0.001446966,0.0004038526,0.0136056,0.0005410935,0.0001762685,0.0005194584,0.001204281,0.3985813,0.2590921,0.05949112,0.007719948,0.257218],"study_design_scores_gemma":[0.00007102016,0.000275037,0.001181964,0.00002449165,0.00006325055,0.0000960625,0.00008890745,0.894982,0.07543075,0.01876635,0.008993231,0.00002688602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3844303,0.0007089876,0.6012626,0.0005013999,0.0001128799,0.0001644026,0.0001351068,0.006211567,0.006472682],"genre_scores_gemma":[0.8129203,0.0002432328,0.1837782,0.000171404,0.00003644897,0.0001336146,0.0002011955,0.0003504537,0.002165055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001800269,"threshold_uncertainty_score":0.004461527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05028740776377373,"score_gpt":0.2899913163042738,"score_spread":0.2397039085405001,"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."}}