{"id":"W1506835714","doi":"10.1109/tcad.2014.2304696","title":"Accelerated Harmonic-Balance Analysis Using a Graphical Processing Unit Platform","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Jacobian matrix and determinant; Computer science; Matrix decomposition; Factorization; Floating point; Block (permutation group theory); Speedup; Central processing unit; Harmonics; Nonlinear system; Computational science; LU decomposition; Parallel computing; Algorithm; Computer hardware; Mathematics; Applied mathematics; Engineering; Electrical 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":[0.0002090317,0.0006043896,0.0003571025,0.0003202277,0.0002606801,0.0006046633,0.0009678321,0.0004968158,0.009843956],"category_scores_gemma":[0.0007214312,0.0002250408,0.0004268885,0.0002645083,0.0002475921,0.0006905207,0.0005461226,0.0007990006,0.001669938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003680378,"about_ca_system_score_gemma":0.0006311662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002709023,"about_ca_topic_score_gemma":0.002754785,"domain_scores_codex":[0.9998612,0.00002504293,0.000005102572,0.00001822084,0.00007139117,0.00001893676],"domain_scores_gemma":[0.9997994,0.000074043,0.00001453778,0.00003572218,0.0000617652,0.00001450493],"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":[0.0004082073,0.0001666596,0.001763036,0.0002846663,0.0001275165,0.0003914674,0.0002959466,0.6269652,0.1334869,0.06344851,0.01350215,0.1591597],"study_design_scores_gemma":[0.00002257039,0.00002700662,0.0001260543,0.000005016845,0.000006199202,0.00003079119,0.0000101333,0.9820451,0.008833054,0.003061501,0.00582527,0.000007277237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01991612,0.00007357774,0.9663335,0.0001063851,0.00005829444,0.00004726739,0.0001386026,0.005536014,0.007790247],"genre_scores_gemma":[0.3932854,0.0001700645,0.5958251,0.0001272615,0.00003464826,0.0002211057,0.0004769367,0.001229388,0.008630057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009843956,"threshold_uncertainty_score":0.03293127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07331533157095255,"score_gpt":0.2735813375150513,"score_spread":0.2002660059440988,"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."}}