{"id":"W2153019107","doi":"10.1109/ipdps.2011.152","title":"Asymmetric Large Size Signed Multipliers Using Embedded Blocks in FPGAs","year":2011,"lang":"en","type":"article","venue":"","topic":"Low-power high-performance VLSI design","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Operand; Field-programmable gate array; Computer science; Adder; Lookup table; Multiplier (economics); Parallel computing; Minification; Critical path method; Arithmetic; Heuristic; Algorithm; Embedded system; Computer hardware; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003080312,0.0002686128,0.0002857397,0.0004980079,0.00005450288,0.0000260617,0.0002601284,0.0001744319,0.0008409359],"category_scores_gemma":[0.00008176975,0.0002603398,0.00006827536,0.001216435,0.0000251414,0.0003318459,0.00005247609,0.0002436649,0.0001988022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001767343,"about_ca_system_score_gemma":0.00002699138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009559509,"about_ca_topic_score_gemma":0.00004927379,"domain_scores_codex":[0.998453,0.00002578102,0.0003707793,0.0002608605,0.0002115927,0.0006779914],"domain_scores_gemma":[0.9993362,0.0001043878,0.00003314468,0.0003618432,0.00003306335,0.0001313689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005905419,0.002803486,0.1657677,0.001163483,0.001317566,0.001163428,0.0566464,0.2411048,0.4550183,0.003583285,0.02335256,0.04748848],"study_design_scores_gemma":[0.003551085,0.0001020844,0.01453405,0.00006554007,0.00004588959,0.00001645851,0.0007609558,0.8139648,0.1646928,0.0001644703,0.0009847091,0.001117214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9148421,0.0002090469,0.03154181,0.000003922492,0.0006316816,0.0003767584,0.000004802574,0.0007386621,0.05165125],"genre_scores_gemma":[0.9713526,0.00001887567,0.02807976,0.00006030985,0.00005163385,0.00001632519,0.000001767591,0.0000714214,0.0003472982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.57286,"threshold_uncertainty_score":0.9999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056852676978464,"score_gpt":0.2125329862754199,"score_spread":0.1919644595056352,"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."}}