{"id":"W7123334896","doi":"10.1109/icm66518.2025.11322520","title":"Effective Partitioning Approaches for High Performance FPGA Routing","year":2025,"lang":"","type":"article","venue":"","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Scalability; Field-programmable gate array; Routing (electronic design automation); Workload; Multi-core processor; Parallelism (grammar); Scheduling (production processes); Thread (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":[0.0005278494,0.0005679546,0.0003409178,0.0005908892,0.0004524207,0.000817502,0.0007968647,0.0005058595,0.002365761],"category_scores_gemma":[0.001293365,0.0002608807,0.0002676116,0.0005617435,0.0004727873,0.001085434,0.0007308947,0.0006206935,0.0006036027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005764903,"about_ca_system_score_gemma":0.000500452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007242935,"about_ca_topic_score_gemma":0.001682108,"domain_scores_codex":[0.9994395,0.0001629188,0.00001930204,0.00004838258,0.0002755488,0.00005431577],"domain_scores_gemma":[0.9995251,0.0001968483,0.00005866044,0.0001083846,0.0000936795,0.00001746696],"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":[0.0001324488,0.00008546521,0.0006320194,0.0002758643,0.00006793837,0.0001462001,0.0001499904,0.5476372,0.05386339,0.1105053,0.004054364,0.2824499],"study_design_scores_gemma":[0.00005440706,0.0002040719,0.0004842903,0.00004710559,0.00003865116,0.0002562407,0.00008344838,0.9054748,0.01989679,0.05074629,0.02268875,0.00002515022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02068149,0.002282678,0.966751,0.0001884043,0.00006273633,0.00006919818,0.00002976182,0.0005001196,0.009434605],"genre_scores_gemma":[0.3745826,0.002674426,0.6177849,0.0001824226,0.00007950371,0.0001538638,0.0001434234,0.0002151516,0.00418384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002365761,"threshold_uncertainty_score":0.007914305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802135001800695,"score_gpt":0.2225029565469564,"score_spread":0.2044816065289494,"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."}}