{"id":"W1983241261","doi":"10.1109/fpt.2010.5681758","title":"Deterministic multi-core parallel routing for FPGAs","year":2010,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Routing (electronic design automation); Field-programmable gate array; Router; Parallel computing; Queue; Multi-core processor; Static routing; Embedded system; Routing protocol; Computer network; Distributed computing","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":[0.0003365367,0.0002841921,0.0003179832,0.0002176353,0.0003013848,0.0004041976,0.0006083945,0.0002527804,0.0009434458],"category_scores_gemma":[0.0008177711,0.000181271,0.0002708082,0.0002783936,0.0002781614,0.0004651412,0.0002717214,0.0002995064,0.0001413627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006628547,"about_ca_system_score_gemma":0.0006029839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001466522,"about_ca_topic_score_gemma":0.003585748,"domain_scores_codex":[0.9997188,0.00009040607,0.00001222145,0.00004349806,0.00009919539,0.0000358567],"domain_scores_gemma":[0.9996716,0.000114403,0.00005450951,0.00009081657,0.0000552013,0.00001356181],"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":[0.00006147265,0.00002623246,0.0005648948,0.00009972822,0.00002881039,0.00004909415,0.00002258308,0.9129279,0.007488792,0.03042482,0.001014804,0.04729088],"study_design_scores_gemma":[0.000007505859,0.00003861831,0.0001767774,0.000003880731,0.000007400063,0.00002537483,0.000004061444,0.9887013,0.002596844,0.006598165,0.001834989,0.000004908058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05793617,0.0008786055,0.93511,0.000179652,0.00007849056,0.00005017952,0.00004552782,0.0006118086,0.005109577],"genre_scores_gemma":[0.641406,0.0004876204,0.3554161,0.00009786495,0.00003061241,0.00008063189,0.00006926037,0.0000653119,0.002346699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001466522,"threshold_uncertainty_score":0.00480932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05109615652191632,"score_gpt":0.297884586517854,"score_spread":0.2467884299959377,"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."}}