{"id":"W1740658189","doi":"10.1109/wescan.1997.627141","title":"Hardware-software co-simulation of a parallel computer system","year":2002,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Node (physics); Software; Parallel computing; Hardware architecture; Matrix multiplication; Multiplication (music); Co-simulation; Computer architecture; Embedded system; Operating system; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000442735,0.00008109457,0.0001928214,0.0001521921,0.00008793107,0.00006940612,0.000344009,0.00006126399,0.0017513],"category_scores_gemma":[0.0001273005,0.00005895372,0.00009682679,0.0004480896,0.0000389747,0.000154313,0.00004277237,0.00004336434,0.000666651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002204852,"about_ca_system_score_gemma":0.000005537741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001109364,"about_ca_topic_score_gemma":0.000001180079,"domain_scores_codex":[0.9983301,0.00005399913,0.000594367,0.0002599853,0.0006564163,0.0001051649],"domain_scores_gemma":[0.9980423,0.0008107919,0.0002063921,0.0005342332,0.0003486622,0.00005762911],"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":[0.00001499413,0.0002064754,0.02304016,0.00002565985,0.00002200138,0.000002113972,0.0005734605,0.5840203,0.00007984563,0.05931088,0.108926,0.2237782],"study_design_scores_gemma":[0.0001830419,0.0000297634,0.003900881,0.0000106161,0.000003646818,0.000001785742,0.00007184315,0.9522998,0.0001869043,0.001608018,0.04161922,0.00008452316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009679173,0.00002017059,0.9759855,0.0001404066,0.00004661377,0.0002561854,0.00001454725,0.0002559382,0.01360146],"genre_scores_gemma":[0.9404009,0.000001327256,0.05656384,0.0001103435,0.00004805687,0.0000160194,0.000004217513,0.000006314896,0.002848978],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9307217,"threshold_uncertainty_score":0.9991612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1698036131806603,"score_gpt":0.4024912848811935,"score_spread":0.2326876717005331,"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."}}