{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001619696,0.0004654452,0.0003912322,0.001769974,0.0007438801,0.001431463,0.0008165416,0.0006313586,0.00251777],"category_scores_gemma":[0.007185286,0.0002113541,0.0001729067,0.004308514,0.0005155356,0.002874403,0.0007110575,0.0007605507,0.0003492904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714005,"about_ca_system_score_gemma":0.0008432725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004392318,"about_ca_topic_score_gemma":0.00240843,"domain_scores_codex":[0.9985832,0.0003566418,0.00004626518,0.000157584,0.0005975649,0.0002587498],"domain_scores_gemma":[0.9974208,0.001217721,0.000282376,0.0002712646,0.0006615432,0.0001462671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001883422,0.0006215289,0.04538941,0.001187898,0.0001800714,0.0009394003,0.0009040079,0.4766912,0.01781883,0.1612644,0.02550872,0.2676111],"study_design_scores_gemma":[0.0000559304,0.0004930134,0.01234821,0.0001663914,0.00006021948,0.0009718589,0.000358656,0.9240892,0.01141564,0.01885876,0.03113625,0.00004591583],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7925953,0.02771507,0.08502495,0.00462344,0.0003884848,0.0001851336,0.0008985631,0.001604809,0.0869642],"genre_scores_gemma":[0.9837616,0.004583676,0.008255213,0.0001124419,0.0001568512,0.00005278637,0.0003699003,0.00009436916,0.002613195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004392318,"threshold_uncertainty_score":0.01243603,"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."}}