{"id":"W209015621","doi":"10.1504/ijhpcn.2006.013484","title":"MPI scalability of a large memory LES code","year":2006,"lang":"en","type":"article","venue":"International Journal of High Performance Computing and Networking","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Scalability; Parallel computing; Turbulence; Computer science; Computational science; Code (set theory); Finite volume method; Grid; Large eddy simulation; Reynolds number; Jet (fluid); Flow (mathematics); Visualization; Detached eddy simulation; Mechanics; Reynolds-averaged Navier–Stokes equations; Physics; Operating system; Geometry; Mathematics","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":[0.001117042,0.0006852337,0.0005358349,0.0007079445,0.0009593625,0.001232633,0.001754137,0.000572698,0.00600334],"category_scores_gemma":[0.003804588,0.0002468812,0.0004269522,0.001196159,0.0004390026,0.0008599357,0.0009506366,0.000877485,0.001271414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006317858,"about_ca_system_score_gemma":0.00107843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005799876,"about_ca_topic_score_gemma":0.002337429,"domain_scores_codex":[0.9992848,0.000148425,0.00005078797,0.000071993,0.0003357391,0.0001083776],"domain_scores_gemma":[0.9978697,0.0008293475,0.00008789974,0.0003871567,0.0007091591,0.0001166361],"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":[0.001376137,0.0006045441,0.01321807,0.0003051451,0.0001811289,0.0008921666,0.0004081315,0.7825701,0.05012947,0.02419263,0.02748829,0.0986342],"study_design_scores_gemma":[0.00008771665,0.00005985151,0.001754005,0.00001104843,0.00001432669,0.00004469869,0.00004243695,0.9742231,0.01800466,0.001610763,0.004127132,0.0000201556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6438206,0.0005714455,0.2076882,0.001189501,0.0003667053,0.0005180858,0.005566493,0.03883812,0.1014409],"genre_scores_gemma":[0.9028667,0.0001781129,0.08251181,0.00009690566,0.00007738078,0.0005148543,0.004825358,0.001700734,0.007228121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00600334,"threshold_uncertainty_score":0.02008319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005598487294784071,"score_gpt":0.2172723026352232,"score_spread":0.2116738153404391,"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."}}