{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004042076,0.00009603323,0.0001061309,0.00005774552,0.0006432639,0.0008065348,0.001230256,0.00005774406,0.000007593217],"category_scores_gemma":[0.0000571522,0.0000770711,0.00003804455,0.00006491665,0.00006429768,0.001167392,0.000194169,0.00006341049,0.00001015838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001499046,"about_ca_system_score_gemma":0.00004675529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007398447,"about_ca_topic_score_gemma":0.000004602463,"domain_scores_codex":[0.9990638,0.00004045991,0.0001288973,0.0003457404,0.0001688608,0.0002522518],"domain_scores_gemma":[0.9986604,0.00003543647,0.00009252375,0.0009593632,0.0001384596,0.0001138483],"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":[0.0001029404,0.0002666276,0.001133725,0.0001112595,0.00001794264,0.0000166723,0.002482465,0.008412801,0.01188034,0.01569569,0.01884284,0.9410367],"study_design_scores_gemma":[0.000511417,0.0001256801,0.0005193072,0.00004721882,0.000002721387,0.000002250285,0.00002478685,0.9700572,0.02337365,0.004469289,0.0007181123,0.0001483128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01850309,0.00001892007,0.9791368,0.0005511197,0.0003231009,0.0001555297,8.861549e-7,0.0001811923,0.001129406],"genre_scores_gemma":[0.791701,0.00001006905,0.2062688,0.0001266778,0.000158642,0.00002004008,0.000009455543,0.00001001989,0.001695295],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9616445,"threshold_uncertainty_score":0.7777433,"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."}}