{"id":"W2074688378","doi":"10.1007/s11227-009-0294-5","title":"Analyzing and enhancing the parallel sort operation on multithreaded architectures","year":2009,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Multithreading; Parallel computing; Quicksort; sort; Simultaneous multithreading; Parallelism (grammar); Sorting algorithm; Computer architecture; Thread (computing); Operating system","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":[0.001888663,0.0001282907,0.0001767041,0.0001193601,0.0005178781,0.0002016436,0.0007361689,0.00003468032,0.000001075829],"category_scores_gemma":[0.0001068931,0.00006646084,0.00006250413,0.0001982449,0.00004341165,0.0001623955,0.00009336206,0.0003830954,0.000001222227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002344845,"about_ca_system_score_gemma":0.00003709776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001178907,"about_ca_topic_score_gemma":0.000002726436,"domain_scores_codex":[0.9987582,0.0002617472,0.0004203518,0.0001253087,0.0002412492,0.0001931444],"domain_scores_gemma":[0.9989628,0.0004370929,0.000197444,0.0002538431,0.00009982006,0.00004906589],"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":[0.00003632923,0.00005639275,0.0004533467,0.000005956921,0.0000395265,0.00001045989,0.009849861,0.8472196,0.006309079,0.004515783,0.0003090195,0.1311947],"study_design_scores_gemma":[0.0005064513,0.0005059135,0.01214373,0.0002160378,0.00002752094,0.0005245126,0.0002615167,0.9714425,0.009015399,0.005014994,0.0001107479,0.0002307153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2980964,0.0003308027,0.6983079,0.002965369,0.00006924264,0.0000677748,6.621535e-8,0.00005121309,0.0001113244],"genre_scores_gemma":[0.9034892,0.0000565753,0.09541252,0.0008475059,0.0001808432,2.046464e-7,1.751885e-7,0.000004597505,0.000008369735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6053929,"threshold_uncertainty_score":0.3983152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582151918779278,"score_gpt":0.2631792472619862,"score_spread":0.2473577280741934,"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."}}