{"id":"W2165807634","doi":"10.1109/asap.2007.4429997","title":"Latency Reduction of Global Traffic in Wormhole-Routed Meshes Using Hierarchical Rings for Global Routing","year":2007,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Computer network; Latency (audio); Wormhole; Distributed computing; SystemC; Hierarchical routing; Scalability; Network topology; Dynamic Source Routing; Mesh networking; Polygon mesh; Static routing; Topology (electrical circuits); Routing protocol; Routing (electronic design automation); Embedded system; Engineering; Telecommunications; Wireless","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":[0.0002957447,0.0002446481,0.0002139732,0.0002916499,0.0002095296,0.0002628163,0.0003488423,0.0001868784,0.0006905345],"category_scores_gemma":[0.0007306663,0.0001154052,0.0002028302,0.000255556,0.0002095575,0.0006656112,0.0003837122,0.0001352509,0.0001153315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002459002,"about_ca_system_score_gemma":0.0001511186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004217057,"about_ca_topic_score_gemma":0.0008804376,"domain_scores_codex":[0.9998301,0.00004886775,0.00001128242,0.00002400107,0.00004890305,0.00003677078],"domain_scores_gemma":[0.9996377,0.0001502045,0.00005524177,0.00007972299,0.00006012529,0.00001691176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001155317,0.0001462525,0.003092715,0.0003282195,0.000080263,0.0004189163,0.0002526735,0.3587778,0.4217879,0.01750896,0.001918101,0.1945331],"study_design_scores_gemma":[0.00004811879,0.0007621403,0.001649588,0.0000126789,0.00007320528,0.0002289709,0.00009465583,0.8878917,0.1019017,0.004558797,0.002754152,0.00002434673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8435166,0.0006180684,0.150353,0.0001136523,0.00005704617,0.00002604394,0.00006052524,0.0005666016,0.004688366],"genre_scores_gemma":[0.9816681,0.0001091831,0.01747776,0.00001229671,0.00001206019,0.00001189467,0.00003482365,0.00002146501,0.0006524486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006905345,"threshold_uncertainty_score":0.002310038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02570779431555823,"score_gpt":0.2922342485983668,"score_spread":0.2665264542828085,"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."}}