{"id":"W3147111781","doi":"10.1109/wsc48552.2020.9383948","title":"A dEVS Simulation Algorithm Based on Shared Memory for Enhancing Performance","year":2020,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Discrete event simulation; Formalism (music); Exploit; Synchronization (alternating current); Parallel computing; Distributed computing; Overhead (engineering); Modeling and simulation; Algorithm; Simulation; Operating system","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":[0.0008243392,0.0003763384,0.0003309235,0.0004027128,0.000323488,0.0005827398,0.001181972,0.0003941801,0.002875888],"category_scores_gemma":[0.002326064,0.000259888,0.0004644735,0.0004594114,0.0003649244,0.0008021076,0.0007764991,0.000737379,0.0003989226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005045677,"about_ca_system_score_gemma":0.001371319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002789746,"about_ca_topic_score_gemma":0.003037574,"domain_scores_codex":[0.9996262,0.0001027822,0.0000294155,0.00005615067,0.0001554637,0.00002998512],"domain_scores_gemma":[0.9992532,0.0003350567,0.00005214068,0.0001593572,0.0001681272,0.00003212279],"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":[0.0001594776,0.00008152828,0.002530605,0.0001317582,0.00005795274,0.0001319943,0.0001215871,0.8310062,0.0172957,0.06445342,0.002820646,0.08120909],"study_design_scores_gemma":[0.00001971851,0.00002735603,0.00007962286,0.000005203786,0.000006536658,0.00002614205,0.000005862089,0.9874794,0.005229799,0.003271528,0.003844029,0.000004757117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02121484,0.00007890722,0.9733267,0.00009697195,0.00004911062,0.00008073224,0.0001311624,0.001493533,0.003528054],"genre_scores_gemma":[0.3396175,0.0001598351,0.6561102,0.00006839924,0.00001843409,0.0002630228,0.0005246116,0.0002489288,0.002989081],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002875888,"threshold_uncertainty_score":0.009620845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1784735668532592,"score_gpt":0.4207354177754415,"score_spread":0.2422618509221824,"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."}}