{"id":"W2012627971","doi":"10.1109/aspdac.2013.6509694","title":"Range and bitmask analysis for hardware optimization in high-level synthesis","year":2013,"lang":"en","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"High-level synthesis; Computer science; Range (aeronautics); Computer architecture; Computer hardware; Field-programmable gate array; Engineering","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":[0.001258071,0.0008096363,0.0004375723,0.001110444,0.000362612,0.001383798,0.0007605604,0.0004502437,0.004471953],"category_scores_gemma":[0.004747493,0.0003993747,0.0006581308,0.0008375691,0.0008814172,0.002166942,0.0006061947,0.0007942379,0.0006312696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007113192,"about_ca_system_score_gemma":0.0009551739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008603623,"about_ca_topic_score_gemma":0.001325974,"domain_scores_codex":[0.9984093,0.0005764657,0.0001012839,0.0001718358,0.0005914287,0.0001496684],"domain_scores_gemma":[0.997654,0.001489207,0.0002693704,0.0003426844,0.000221028,0.0000237085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006378642,0.00009887083,0.00347287,0.0004307576,0.00007930739,0.0001850465,0.0001897182,0.4174666,0.06326628,0.1430794,0.002007615,0.3690856],"study_design_scores_gemma":[0.0000438085,0.0003694202,0.0007888724,0.00009140617,0.00008265785,0.0001604433,0.0000592434,0.8410476,0.07874918,0.07047495,0.008088471,0.00004396189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03679195,0.0009871281,0.9508864,0.0001844548,0.00004891401,0.00005744729,0.00008620678,0.001970189,0.008987219],"genre_scores_gemma":[0.5690799,0.0006453105,0.4258323,0.0002016641,0.00006495835,0.0001825621,0.0001658438,0.0006420944,0.00318541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004471953,"threshold_uncertainty_score":0.01496017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0319359997077947,"score_gpt":0.2445937769063477,"score_spread":0.212657777198553,"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."}}