{"id":"W2062972627","doi":"10.1142/s1469026806002039","title":"A MEMETIC ALGORITHM FOR PERFORMING MEMORY ASSIGNMENT IN DUAL-BANK DSPS","year":2006,"lang":"en","type":"article","venue":"International Journal of Computational Intelligence and Applications","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Computer science; Parallel computing; Memetic algorithm; Digital signal processing; Compiler; Memory bandwidth; Digital signal processor; Interleaved memory; Computer memory; Semiconductor memory; Algorithm; Computer hardware; Local search (optimization); Programming language","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":[0.001101393,0.0006378784,0.0008181171,0.0008913497,0.000689839,0.0007063564,0.001526248,0.001299756,0.001368722],"category_scores_gemma":[0.001947694,0.000461081,0.0007247974,0.0007255055,0.0007740547,0.0007378595,0.0007510931,0.0006831742,0.0002051625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007145937,"about_ca_system_score_gemma":0.001107194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119674,"about_ca_topic_score_gemma":0.001798877,"domain_scores_codex":[0.9996781,0.0001294544,0.00001863988,0.00005441254,0.00007603133,0.00004341192],"domain_scores_gemma":[0.9994554,0.0003234112,0.00005920582,0.00004668689,0.00008492822,0.00003030528],"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":[0.00008098306,0.00005693008,0.0004296366,0.00005140468,0.0000662167,0.0000761954,0.00006658773,0.9312165,0.002503431,0.008000341,0.0009421021,0.05650971],"study_design_scores_gemma":[0.0000211063,0.00002797106,0.00004768441,0.000003767202,0.000007813838,0.0000212291,0.00001015448,0.9964641,0.0006218837,0.002286509,0.0004834197,0.000004439366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04773754,0.0003279268,0.9476494,0.0002941354,0.00007089109,0.00008229913,0.00002728912,0.0003632468,0.003447277],"genre_scores_gemma":[0.4208087,0.0002105688,0.5744648,0.0001800422,0.00005767482,0.00038886,0.00006046968,0.00005834889,0.003770566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002119674,"threshold_uncertainty_score":0.005824745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913398475210874,"score_gpt":0.3074125670904509,"score_spread":0.2882785823383422,"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."}}