{"id":"W4255220943","doi":"10.1109/pads.2004.1301281","title":"Performance of a mixed shared/distributed memory parallel network simulator","year":2004,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid","keywords":"Computer science; Shared memory; Message passing; Distributed memory; Distributed shared memory; Parallel computing; Data diffusion machine; Uniform memory access; Latency (audio); Memory management; Distributed computing; Operating system; Semiconductor memory","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007947838,0.0004398052,0.0005685358,0.0003134497,0.0004388713,0.0007780445,0.0008803848,0.0005901789,0.001895587],"category_scores_gemma":[0.001792754,0.0003251716,0.0003043076,0.0004773121,0.0004075523,0.0007481314,0.0005246914,0.0005059651,0.0002324575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009373276,"about_ca_system_score_gemma":0.001274087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008666616,"about_ca_topic_score_gemma":0.005293269,"domain_scores_codex":[0.9996369,0.0001312187,0.00002014182,0.00004412654,0.000121241,0.00004646172],"domain_scores_gemma":[0.9991153,0.0004945443,0.00004343277,0.00008852817,0.0001641864,0.00009389515],"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":[0.0006396814,0.0001649729,0.004192623,0.00004101362,0.00006943887,0.0001094636,0.00007636149,0.9712226,0.008748028,0.002784484,0.0006207331,0.01133069],"study_design_scores_gemma":[0.00002159546,0.00004895901,0.0001755205,8.762132e-7,0.000004366846,0.000004941216,0.000007868783,0.9978197,0.001592837,0.0001689238,0.0001512823,0.000003126668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531428,0.0001078617,0.03744298,0.0001886429,0.00004123439,0.00007690921,0.0003688534,0.001357808,0.007272877],"genre_scores_gemma":[0.9798493,0.00003525217,0.01852661,0.00001898977,0.000003959377,0.00004913097,0.0002834779,0.00005588888,0.001177424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008666616,"threshold_uncertainty_score":0.0172323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07899888085080797,"score_gpt":0.3645730590135068,"score_spread":0.2855741781626989,"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."}}