{"id":"W4392749596","doi":"10.23977/cpcs.2024.080101","title":"Research on Parallel Algorithm Optimization Strategies in High Performance Computing","year":2024,"lang":"en","type":"article","venue":"Computing Performance and Communication systems","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Optimization algorithm; Parallel computing; Algorithm; Mathematical optimization; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00113202,0.001169262,0.001210298,0.0008741249,0.0006906435,0.001562517,0.001288774,0.00123721,0.002153918],"category_scores_gemma":[0.003715437,0.0005178406,0.0009206978,0.00185934,0.001284303,0.001702082,0.0007672123,0.001629988,0.0005109785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226186,"about_ca_system_score_gemma":0.001783727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005658435,"about_ca_topic_score_gemma":0.002587171,"domain_scores_codex":[0.999273,0.0002451072,0.00003508667,0.0001330405,0.0002444347,0.00006932118],"domain_scores_gemma":[0.9988664,0.0006587964,0.00009010865,0.00007565465,0.0002633658,0.00004557339],"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":[0.00004896823,0.00006573089,0.0006588591,0.0002554314,0.0001072471,0.00006395542,0.00006463782,0.8602377,0.001182728,0.0783797,0.001917685,0.05701737],"study_design_scores_gemma":[0.00001420018,0.00003117953,0.0001063267,0.00001938523,0.00001277888,0.00002024416,0.00001341327,0.975765,0.0003808052,0.02104997,0.002579931,0.000006717884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01282265,0.009063344,0.9584566,0.001191012,0.0002965528,0.0000668581,0.00002548168,0.000195861,0.0178816],"genre_scores_gemma":[0.5651843,0.01501664,0.4072853,0.0007425604,0.0005989376,0.0003499031,0.0001564422,0.0003148024,0.0103511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005658435,"threshold_uncertainty_score":0.01125103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05673393639263066,"score_gpt":0.3662070192889737,"score_spread":0.3094730828963431,"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."}}