{"id":"W2915521883","doi":"10.1145/3289602.3294002","title":"Enhancing Butterfly Fat Tree NoCs for FPGAs with Lightweight Flow Control","year":2019,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Router; Field-programmable gate array; Network on a chip; Embedded system; Deflection routing; Latency (audio); Place and route; Network packet; Scheduling (production processes); Computer network; Routing protocol; Static routing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000249594,0.0003395977,0.0001278171,0.0004202322,0.0002053303,0.0003447853,0.0004567807,0.0001732642,0.001468139],"category_scores_gemma":[0.0007619112,0.00009288143,0.0001369317,0.0002895385,0.0001707317,0.0005603053,0.0002009821,0.0002163938,0.0001855266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000486836,"about_ca_system_score_gemma":0.0004512093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002473661,"about_ca_topic_score_gemma":0.006425222,"domain_scores_codex":[0.9998754,0.00002474293,0.000008302132,0.00001376437,0.00004653907,0.0000311637],"domain_scores_gemma":[0.9995858,0.0001324223,0.00008510274,0.00005687759,0.0001133861,0.00002637733],"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":[0.0005250966,0.0002458062,0.006406273,0.0004050536,0.00006564987,0.0004784385,0.0001350535,0.5162368,0.2244252,0.01116396,0.004364395,0.2355482],"study_design_scores_gemma":[0.00006813917,0.001029044,0.002725491,0.00003274108,0.00006173297,0.0002352765,0.00006872305,0.8887126,0.09543884,0.00316265,0.008436807,0.00002797594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.758008,0.0005302506,0.2257571,0.0002175442,0.0001146409,0.0001307299,0.0001802785,0.002295607,0.01276579],"genre_scores_gemma":[0.9110936,0.0001945929,0.08616974,0.00006731321,0.00001448611,0.00003783665,0.0001194473,0.0000466895,0.002256323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002473661,"threshold_uncertainty_score":0.004918516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006146486900138345,"score_gpt":0.196263460002829,"score_spread":0.1901169731026906,"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."}}