{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001589612,0.0007660639,0.001041128,0.001399928,0.0007899273,0.001918155,0.002438107,0.0008306725,0.00429368],"category_scores_gemma":[0.003893698,0.0005384065,0.001111335,0.002592738,0.001449993,0.003114124,0.002070758,0.001593461,0.002688198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068394,"about_ca_system_score_gemma":0.001740388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001963043,"about_ca_topic_score_gemma":0.002291639,"domain_scores_codex":[0.9978393,0.0004503809,0.0002238122,0.0004881266,0.0007545821,0.0002436136],"domain_scores_gemma":[0.9979039,0.0006398991,0.0001692242,0.0007626188,0.0004591139,0.0000652411],"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":[0.0005782136,0.0001813796,0.001495242,0.0002805316,0.00006451229,0.0002523264,0.0003508832,0.08657317,0.03148146,0.1517828,0.009061989,0.7178976],"study_design_scores_gemma":[0.000112284,0.0001304705,0.0002768815,0.00003972945,0.00002820275,0.0002971262,0.00009177288,0.7197747,0.05067543,0.2105681,0.01795313,0.00005210125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007883564,0.0001276915,0.9875031,0.0001248471,0.00004147497,0.00006406004,0.00007781023,0.002083977,0.002093439],"genre_scores_gemma":[0.09984498,0.0001967313,0.8946201,0.0001448309,0.00004242473,0.0001959665,0.0004455159,0.0006564404,0.003853053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00429368,"threshold_uncertainty_score":0.01436377,"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."}}