{"id":"W2059811116","doi":"10.1145/2628071.2628079","title":"Bitwise data parallelism in regular expression matching","year":2014,"lang":"en","type":"article","venue":"","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; SIMD; Parallel computing; Bitwise operation; Regular expression; Backtracking; Implementation; Parallelism (grammar); Data parallelism; Algorithm; Programming language","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":[0.0004950891,0.00006841632,0.00008117573,0.00005900082,0.0000632294,0.0001564064,0.001007299,0.00003972759,0.000007595285],"category_scores_gemma":[0.00002716656,0.00005561253,0.000008480303,0.0002241425,0.00001045438,0.0008691352,0.0004759325,0.00007280658,0.0000204863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007776961,"about_ca_system_score_gemma":0.00001606329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001813119,"about_ca_topic_score_gemma":0.00001237603,"domain_scores_codex":[0.9991612,0.00006845997,0.0001379797,0.0003368105,0.0001391496,0.0001564067],"domain_scores_gemma":[0.9989572,0.00004241052,0.00004302936,0.0008993951,0.00001667627,0.00004126394],"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":[0.00001985321,0.0002411828,0.002621814,0.00009082232,0.000007405783,0.00002163203,0.003019344,0.1921673,0.003333357,0.1323071,0.04123968,0.6249304],"study_design_scores_gemma":[0.0001967363,0.000007725131,0.0002290419,0.00006602846,6.95059e-7,0.00000250153,0.00001040954,0.9765105,0.0004843248,0.0186133,0.003773278,0.0001055128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004828437,0.00007155166,0.989561,0.0006743845,0.0001327932,0.00003699026,1.418622e-7,0.0001458071,0.004548951],"genre_scores_gemma":[0.5338705,0.00001898843,0.4650938,0.0003712397,0.00007587214,0.000002368688,0.00001362228,0.0000056768,0.0005479729],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7843431,"threshold_uncertainty_score":0.2267813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254865816580674,"score_gpt":0.2543185713826495,"score_spread":0.2317699132168428,"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."}}