{"id":"W4312649535","doi":"10.1109/iscas48785.2022.9937607","title":"A Templated VHDL Architecture for Terabit/s P4-programmable FPGA-based Packet Parsing","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Field-programmable gate array; Header; Pipeline (software); Throughput; VHDL; Parsing; Computer architecture; Virtex; Network packet; Embedded system; Parallel computing; Operating system; Computer network; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007403181,0.0003109824,0.0004077631,0.0002357998,0.0006947282,0.0006358391,0.0009686288,0.00009264181,0.00003536412],"category_scores_gemma":[0.00002447272,0.0002913642,0.0002324864,0.00039184,0.00003859082,0.000193624,0.0001685084,0.0003681161,0.000009223724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002101184,"about_ca_system_score_gemma":0.00008070257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001855872,"about_ca_topic_score_gemma":0.00001896411,"domain_scores_codex":[0.9970828,0.0002052027,0.0005238829,0.0008382428,0.0008482629,0.0005015896],"domain_scores_gemma":[0.9984823,0.0004401603,0.0002753228,0.0004864546,0.0001519795,0.0001637624],"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":[0.0004893442,0.001872934,0.004929907,0.0006379149,0.003485866,0.0005297802,0.005633446,0.7094,0.01683929,0.07356041,0.0868303,0.09579077],"study_design_scores_gemma":[0.003560436,0.00142665,0.0003083116,0.0001898958,0.0001691933,0.0006180414,0.0002161955,0.7625902,0.0009447917,0.001652851,0.2271435,0.001179948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3773621,0.002965502,0.5432569,0.02125374,0.03601797,0.006953964,0.001854711,0.00203864,0.008296437],"genre_scores_gemma":[0.9961019,0.000009335746,0.0003170443,0.001020222,0.0004963417,0.0007307983,0.0001180136,0.00004389627,0.001162415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6187398,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02861849980791213,"score_gpt":0.2583875093207397,"score_spread":0.2297690095128275,"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."}}