{"id":"W2614946199","doi":"10.1109/apec.2017.7931114","title":"A robust dynamic voltage scaling scheme for FPGAs with IR drop compensation","year":2017,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Reconfigurability; Dynamic voltage scaling; Field-programmable gate array; Voltage; Power network design; Computer science; Voltage drop; Chip; Electronic engineering; Embedded system; Electrical engineering; 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":[0.0002135682,0.0004591387,0.0002201502,0.0005625619,0.0002485015,0.0005261379,0.0009007333,0.0002083369,0.002094226],"category_scores_gemma":[0.0007955836,0.0001539081,0.0001099162,0.0003927051,0.000301727,0.0005322798,0.000319732,0.000395469,0.0005164195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004222341,"about_ca_system_score_gemma":0.0002322725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003722482,"about_ca_topic_score_gemma":0.0007680923,"domain_scores_codex":[0.9996687,0.00003281758,0.00001990722,0.0001082527,0.0001400892,0.00003012191],"domain_scores_gemma":[0.9996237,0.000049192,0.00009028545,0.0001340347,0.00008595345,0.00001682751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003014338,0.00009355704,0.001414075,0.0001523441,0.00002288912,0.0001746463,0.0001559053,0.00727768,0.690689,0.004538706,0.002221615,0.2929581],"study_design_scores_gemma":[0.00007041107,0.001008275,0.003586628,0.00004340611,0.00003181017,0.0009501961,0.00004706631,0.1358454,0.8335974,0.001744104,0.02301568,0.00005964244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2802219,0.001170228,0.6942981,0.0004498197,0.0003264906,0.0002646586,0.0002911735,0.007977493,0.01500015],"genre_scores_gemma":[0.9200587,0.0001369644,0.07596152,0.0001430016,0.000050214,0.00004344209,0.00009066171,0.000114608,0.00340069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002094226,"threshold_uncertainty_score":0.00700593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069673332025936,"score_gpt":0.224063819959135,"score_spread":0.2033670866388756,"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."}}