{"id":"W1532834634","doi":"10.1109/nca.2004.1347794","title":"Myrinet networks: a performance study","year":2004,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Myrinet; Computer science; Computer network; Interconnection; Latency (audio); Bandwidth (computing); Computation; Network interface; Node (physics); Distributed computing; Software; Message passing; Operating system; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002355287,0.00008169944,0.00009781426,0.0000415596,0.0001025175,0.0001309023,0.0004335007,0.00002480867,0.00002210066],"category_scores_gemma":[0.000002665311,0.00006216567,0.00003115962,0.000267799,0.000007670157,0.0003294942,0.0001101502,0.0000797473,0.0001175475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003270417,"about_ca_system_score_gemma":0.00001677284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000090176,"about_ca_topic_score_gemma":0.00007517028,"domain_scores_codex":[0.9992557,0.00002499307,0.0001710107,0.0002205445,0.0001335257,0.0001942203],"domain_scores_gemma":[0.9994936,0.000012652,0.00003290885,0.0003684961,0.00004307264,0.00004925417],"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":[0.00001578703,0.0008356312,0.02672282,0.00001248649,0.00008174437,0.00005997878,0.003829177,0.7198414,0.00001498265,0.2084577,0.005835095,0.03429328],"study_design_scores_gemma":[0.001370158,0.001017805,0.01873719,0.0000319107,0.00000381324,0.00009045727,0.0003707684,0.972559,0.00008224299,0.000469066,0.004934541,0.0003330451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2412625,0.00002255706,0.7445757,0.0001383993,0.000929086,0.0001775467,2.76078e-8,0.0002157481,0.01267841],"genre_scores_gemma":[0.9966867,0.000004008429,0.001631851,0.0002815356,0.0002014024,0.00001921551,1.746987e-7,0.000004132375,0.001170956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7554242,"threshold_uncertainty_score":0.2535042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130172908167928,"score_gpt":0.2154333423509683,"score_spread":0.204131613269289,"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."}}