{"id":"W2616855592","doi":"10.1145/3060403.3060429","title":"An FPGA Coarse Grained Intermediate Fabric for Regular Expression Search","year":2017,"lang":"en","type":"article","venue":"","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Regular expression; Computer science; Tree traversal; Parallel computing; Throughput; Field-programmable gate array; String (physics); Network packet; Set (abstract data type); Expression (computer science); Filter (signal processing); Virtex; Algorithm; Embedded system; Operating system; Mathematics; Programming language; Computer network","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":[0.0001658231,0.0003688253,0.0002522509,0.0004921575,0.0002803994,0.0007585356,0.00104654,0.0002242337,0.006504146],"category_scores_gemma":[0.0003683966,0.0001667563,0.0003036987,0.0003333223,0.0001837362,0.0005077527,0.0002437687,0.0003644059,0.001100121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007234511,"about_ca_system_score_gemma":0.0007223777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00202085,"about_ca_topic_score_gemma":0.002765413,"domain_scores_codex":[0.9997887,0.00002354047,0.00002183188,0.00005055011,0.00005812914,0.00005719983],"domain_scores_gemma":[0.9998345,0.00004298872,0.00002120641,0.00005212671,0.00003614811,0.0000130186],"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":[0.001713607,0.0004777602,0.00546047,0.0009248773,0.0001416496,0.001340555,0.0003382782,0.08552505,0.3399525,0.04821436,0.02367927,0.4922315],"study_design_scores_gemma":[0.000226384,0.002006208,0.004900098,0.0001336531,0.0002060027,0.001111086,0.0001396953,0.5897852,0.3071594,0.009243864,0.08498365,0.0001046322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3016723,0.0008438954,0.6297469,0.0002399598,0.0002722075,0.0003428993,0.0008643866,0.02417485,0.04184266],"genre_scores_gemma":[0.8026692,0.0001691019,0.1875974,0.0001104177,0.00002019422,0.0001214596,0.0008763845,0.000212418,0.008223368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006504146,"threshold_uncertainty_score":0.02175856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02857473656011231,"score_gpt":0.3133145494706144,"score_spread":0.284739812910502,"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."}}