{"id":"W2561635212","doi":"10.1002/cpe.4066","title":"Providing differentiated services, congestion management, and deadlock freedom in dragonfly networks with adaptive routing","year":2016,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FPInnovations","keywords":"Computer science; Distributed computing; Computer network; Network topology; Bottleneck; Static routing; Hierarchical routing; Policy-based routing; Network congestion; Deadlock; Dynamic Source Routing; Queueing theory; Routing domain; Routing (electronic design automation); Routing protocol; Network packet; Embedded system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002317182,0.0001471957,0.0001493761,0.00007744114,0.0002097181,0.0002866951,0.0001136222,0.00005325696,0.000001060898],"category_scores_gemma":[0.00001968868,0.0001047708,0.000009201009,0.0002207323,0.00008038073,0.001813728,0.0001240355,0.00009961751,8.855614e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000195435,"about_ca_system_score_gemma":0.00001186355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000904024,"about_ca_topic_score_gemma":0.00003562113,"domain_scores_codex":[0.998823,0.0001482282,0.0002481687,0.0004478315,0.0001282015,0.0002045042],"domain_scores_gemma":[0.9991975,0.0003154252,0.0002042311,0.0001039516,0.0001051352,0.00007374576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004305986,0.0001876596,0.04365064,0.0001992308,0.0001261812,0.0001234435,0.04411019,0.004899519,0.0001793643,0.2292087,0.00007715698,0.6768073],"study_design_scores_gemma":[0.001399944,0.0002701317,0.01580694,0.0007140982,0.00001795001,0.0001565431,0.005230175,0.975334,0.00001775005,0.0002995699,0.0004602733,0.0002926083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2327753,0.0007348676,0.7653613,0.0002421039,0.0002379898,0.0002184352,5.132993e-7,0.00006829756,0.0003611954],"genre_scores_gemma":[0.9966232,0.0003378425,0.002809122,0.0001195158,0.00003625928,0.00004124279,0.000001439024,0.00000520176,0.0000261574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9704345,"threshold_uncertainty_score":0.4272431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377645718673509,"score_gpt":0.2517179663363386,"score_spread":0.2379415091496035,"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."}}