{"id":"W2128701724","doi":"10.5555/2016802.2016811","title":"FPGA glitch power analysis and reduction","year":2011,"lang":"en","type":"article","venue":"International Symposium on Low Power Electronics and Design","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glitch; Field-programmable gate array; Power analysis; Dynamic demand; Overhead (engineering); Reduction (mathematics); Computer science; Power (physics); Routing (electronic design automation); Embedded system; Algorithm; Mathematics; Cryptography; Telecommunications; Physics","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":[0.0001735683,0.0007772941,0.0004035481,0.001405232,0.0004341952,0.0005406327,0.0006872758,0.0002659479,0.004427695],"category_scores_gemma":[0.0009049725,0.0003063327,0.0005519328,0.0005149831,0.0002843387,0.0005320954,0.0002409262,0.0004539722,0.0006282326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008134844,"about_ca_system_score_gemma":0.0005845627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001652769,"about_ca_topic_score_gemma":0.003232731,"domain_scores_codex":[0.9995676,0.0000453751,0.00001964649,0.00005636756,0.0002483093,0.0000627114],"domain_scores_gemma":[0.9995017,0.00016383,0.00006393065,0.00008392209,0.000176267,0.00001034588],"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":[0.0005504194,0.0001228891,0.002829816,0.0006296025,0.0001086726,0.0004843333,0.000201877,0.1889659,0.2184753,0.01071651,0.004717108,0.5721976],"study_design_scores_gemma":[0.00008689761,0.0009639548,0.004999193,0.00008208169,0.00013982,0.001266665,0.0001172907,0.5927768,0.3692516,0.005238345,0.02501681,0.00006045281],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1852393,0.001353145,0.7811888,0.0003545619,0.0001361227,0.0002094485,0.0001930023,0.004579076,0.02674662],"genre_scores_gemma":[0.7568805,0.0006930006,0.2317514,0.000198677,0.00005517561,0.0000939457,0.0003350752,0.0006069349,0.009385266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004427695,"threshold_uncertainty_score":0.01481211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008595959861145907,"score_gpt":0.2098184135248162,"score_spread":0.2012224536636703,"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."}}