{"id":"W2155401564","doi":"10.1109/dsd.2009.135","title":"A Comparative Study of Parallel Prefix Adders in FPGA Implementation of EAC","year":2009,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Adder; Computer science; Field-programmable gate array; Parallel computing; Carry-save adder; Computer hardware; Logic synthesis; Critical path method; Serial binary adder; Microprocessor; IBM; Prefix; Arithmetic; Logic gate; Mathematics; Algorithm; Engineering; Latency (audio)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009564291,0.00009741696,0.0002304623,0.0001446734,0.000008191137,0.000003950489,0.00009143144,0.00002392375,0.0001191666],"category_scores_gemma":[0.000001249398,0.00008958997,0.00001938228,0.0002462583,0.00001035917,0.0001713116,0.000007521842,0.00005984651,0.000006697161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003214683,"about_ca_system_score_gemma":0.00001175237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001445189,"about_ca_topic_score_gemma":0.0005340123,"domain_scores_codex":[0.999266,0.00002193581,0.0003407069,0.00009138792,0.0001440488,0.0001359751],"domain_scores_gemma":[0.9997528,0.00001934476,0.00004370727,0.0001362035,0.0000269909,0.00002097673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002343145,0.002354284,0.1044721,0.0002214207,0.0004692678,0.000009915109,0.1683515,0.6339023,0.05301132,0.0009576442,0.01106786,0.02494817],"study_design_scores_gemma":[0.006045606,0.002186001,0.7763127,0.00003991664,0.00003948922,9.134052e-7,0.04811461,0.0228991,0.143759,0.000146875,0.00008624974,0.0003695312],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951602,0.00003513282,0.001312767,0.000009146462,0.00003663485,0.0005223499,0.00000240876,0.0000521581,0.002869257],"genre_scores_gemma":[0.9988922,0.000008059174,0.001036194,0.000008031598,0.000006239979,0.00001898304,0.000003923022,0.000006292668,0.00001999964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6718406,"threshold_uncertainty_score":0.3653373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02306787001548345,"score_gpt":0.2980450206121397,"score_spread":0.2749771505966563,"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."}}