{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002650259,0.00008276293,0.0001046365,0.00003087926,0.000142936,0.0001462993,0.0003608882,0.00006233442,0.00001802724],"category_scores_gemma":[0.00007089293,0.00006529123,0.00007265845,0.0000664768,0.00001375588,0.0001385991,0.00006743685,0.0001018766,0.00004500408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006964601,"about_ca_system_score_gemma":0.00001914676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000239528,"about_ca_topic_score_gemma":0.0002373936,"domain_scores_codex":[0.9992936,0.00001073293,0.0001662494,0.0002382478,0.00007164033,0.0002195148],"domain_scores_gemma":[0.9993585,0.0001299768,0.00005761404,0.0003146226,0.00007855689,0.00006075525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008148322,0.00007864147,0.00128043,0.00002777459,0.00002149092,0.00001020362,0.0008701115,0.0006506164,0.003736699,0.9449174,0.00820691,0.04019158],"study_design_scores_gemma":[0.0003053284,0.00003648278,0.0002703101,0.000007897435,0.000001608067,0.00003244058,0.00002191783,0.9861214,0.0001564464,0.0007835397,0.01215262,0.0001100091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01176675,0.00000314671,0.9826073,0.0002420115,0.002328031,0.0001917387,5.764699e-7,0.0001546189,0.002705837],"genre_scores_gemma":[0.8360686,1.950343e-7,0.1594135,0.0002628606,0.000248011,0.00003776094,6.655252e-7,0.000005799397,0.003962634],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9854708,"threshold_uncertainty_score":0.2662499,"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."}}