{"id":"W3013952364","doi":"10.1109/asp-dac47756.2020.9045175","title":"AIR: A Fast but Lazy Timing-Driven FPGA Router","year":2020,"lang":"en","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Router; Computer science; Routing (electronic design automation); Field-programmable gate array; Path (computing); Key (lock); One-armed router; Process (computing); Metrics; Static routing; Static timing analysis; Network routing; Embedded system; Distributed computing; Computer network; Parallel computing; Routing protocol; Operating system","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":[0.0003071208,0.0003907476,0.0002522954,0.0004264001,0.0002346552,0.0006509766,0.00116659,0.0003325862,0.003765489],"category_scores_gemma":[0.0005332215,0.0002053949,0.0002034821,0.000226318,0.0001965371,0.0008220412,0.0004236769,0.0004502151,0.0009852537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002813841,"about_ca_system_score_gemma":0.0005634022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008442107,"about_ca_topic_score_gemma":0.002373461,"domain_scores_codex":[0.9997404,0.00004602659,0.00001673645,0.00004255891,0.0001063812,0.0000478941],"domain_scores_gemma":[0.9997221,0.00007360177,0.00004558807,0.00006789261,0.00006783372,0.00002300205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001008055,0.0001849438,0.002739537,0.0003625026,0.00008523165,0.0004294012,0.0001063231,0.09268266,0.1657391,0.02574963,0.02904491,0.6818677],"study_design_scores_gemma":[0.0003162606,0.001891042,0.002088064,0.00005695433,0.0001504149,0.001190672,0.00006343798,0.7741227,0.1284789,0.007286116,0.0842391,0.0001163257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08416475,0.00168801,0.8733582,0.0003215055,0.0003534066,0.0002320132,0.0002546728,0.01975414,0.0198734],"genre_scores_gemma":[0.5382531,0.0006440312,0.4460967,0.0003495703,0.0001219458,0.0001050204,0.0004863307,0.0003750503,0.01356822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003765489,"threshold_uncertainty_score":0.01259685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02171372827195716,"score_gpt":0.2061599176431702,"score_spread":0.1844461893712131,"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."}}