{"id":"W2578575989","doi":"10.1145/3039902.3039907","title":"An Improved Overlay and Mapping Algorithm Supporting Rapid Triggering for FPGA Debug","year":2017,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Debugging; Overlay; Field-programmable gate array; Computer science; Observability; Embedded system; Background debug mode interface; Software; TRACE (psycholinguistics); Computer hardware; Real-time computing; Operating system","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":[0.0003515484,0.0006438341,0.0003010379,0.0006867887,0.0004227069,0.0005795775,0.0007076167,0.0004507872,0.003998639],"category_scores_gemma":[0.001753198,0.0002495818,0.000271846,0.0004019101,0.0003285323,0.0009493216,0.0007514477,0.0005629832,0.000866617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004606116,"about_ca_system_score_gemma":0.000947095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252075,"about_ca_topic_score_gemma":0.00213911,"domain_scores_codex":[0.9996814,0.0000585467,0.00002416581,0.00005558776,0.0001164286,0.00006391092],"domain_scores_gemma":[0.9993993,0.0001853134,0.00006558946,0.0001709308,0.0001327704,0.00004603252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007085107,0.0002159018,0.003692591,0.000238414,0.00004086005,0.0006345388,0.0003955058,0.09837909,0.25415,0.02287389,0.008815184,0.6098555],"study_design_scores_gemma":[0.0001459589,0.0008281502,0.001695951,0.00003748449,0.00004180257,0.0008916918,0.0001600932,0.7712841,0.1885761,0.009636509,0.02663801,0.00006424254],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06816611,0.000178935,0.917596,0.0001300607,0.00006716419,0.0001544188,0.00008517769,0.008849894,0.004772102],"genre_scores_gemma":[0.3971418,0.00009139319,0.5992902,0.00007616216,0.00002013974,0.0001023222,0.0001742944,0.000383844,0.002719808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003998639,"threshold_uncertainty_score":0.01337677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510049982544557,"score_gpt":0.2633789226388761,"score_spread":0.2482784228134305,"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."}}