{"id":"W2520334714","doi":"10.1109/hpcsim.2016.7568321","title":"Dynamic virtual channel and index-based arbitration based Network on Chip router architecture","year":2016,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Faculty of Engineering and Architectural Science, Ryerson University","keywords":"Router; Network on a chip; Computer science; Core router; Virtual channel; One-armed router; Computer network; Arbitration; Embedded system; Network packet; Channel (broadcasting)","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":[0.0003615244,0.0002328988,0.0003293567,0.0004640378,0.0002950069,0.000599529,0.001391395,0.0003814462,0.001567389],"category_scores_gemma":[0.000620897,0.0001244652,0.0002543908,0.0004143655,0.0002774145,0.0007378831,0.0003437701,0.0002847812,0.0001898063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005620152,"about_ca_system_score_gemma":0.0006538249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009832629,"about_ca_topic_score_gemma":0.001624308,"domain_scores_codex":[0.9996734,0.00007831259,0.00003303628,0.00006695135,0.0001009776,0.00004747507],"domain_scores_gemma":[0.9996787,0.0000594591,0.00005012343,0.00006577909,0.0001214641,0.00002439085],"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":[0.000678459,0.0003465771,0.004562795,0.0004043106,0.0001917356,0.0004780131,0.0001948218,0.3790375,0.2301068,0.07628092,0.007271664,0.3004464],"study_design_scores_gemma":[0.00004859932,0.0004481474,0.0009121803,0.00001125662,0.0000681427,0.0003363583,0.00001405524,0.9484466,0.03589453,0.004884435,0.008897704,0.00003808599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1427272,0.001259345,0.8404059,0.0002759997,0.0002340321,0.0001475673,0.0001553719,0.00279019,0.01200438],"genre_scores_gemma":[0.7993765,0.0002816634,0.1955274,0.0001352075,0.0000443648,0.0001183481,0.0002127198,0.00005249742,0.004251392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001567389,"threshold_uncertainty_score":0.00524348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007825265456110862,"score_gpt":0.2063677539392009,"score_spread":0.19854248848309,"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."}}