{"id":"W2163099178","doi":"10.1109/reconfig.2010.61","title":"An Efficient Non-blocking Data Cache for Soft Processors","year":2010,"lang":"en","type":"article","venue":"","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Blocking (statistics); Cache; Parallel computing; Stratix; CPU cache; Cache pollution; Embedded system; Cache algorithms; Field-programmable gate array; Computer network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001797267,0.0002542785,0.0002726946,0.0003275362,0.0004175537,0.0007568554,0.001133304,0.0002862421,0.003722837],"category_scores_gemma":[0.0004988439,0.0001759012,0.0001389921,0.0005249513,0.0001844707,0.0007498037,0.0003889539,0.0004964276,0.0009717182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006779446,"about_ca_system_score_gemma":0.00120755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438661,"about_ca_topic_score_gemma":0.004569136,"domain_scores_codex":[0.9997627,0.00002616918,0.00001652041,0.00002262628,0.0001234767,0.00004851116],"domain_scores_gemma":[0.9996318,0.0000605891,0.00004572245,0.00007925131,0.0001456608,0.00003699092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001649919,0.0003686296,0.003025729,0.0009416536,0.0001060471,0.0006321382,0.0002075608,0.03354387,0.5752501,0.05297013,0.01674384,0.3145604],"study_design_scores_gemma":[0.0004297585,0.001309078,0.002456482,0.0001213796,0.0001590189,0.001203876,0.0001440607,0.3307553,0.5488954,0.008346459,0.1060816,0.00009760847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3198225,0.004437867,0.6335742,0.0007812721,0.0003992693,0.0002662762,0.0004526199,0.003965248,0.03630067],"genre_scores_gemma":[0.8209375,0.0007190294,0.1572236,0.0002871366,0.00006126347,0.0001061625,0.0004316631,0.0001382139,0.02009558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003722837,"threshold_uncertainty_score":0.01245415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499434622569165,"score_gpt":0.302972435304365,"score_spread":0.2779780890786734,"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."}}