{"id":"W1969934278","doi":"10.1007/s11227-013-0906-y","title":"High performance data clustering: a comparative analysis of performance for GPU, RASC, MPI, and OpenMP implementations","year":2013,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Science North","funders":"National Center for Research Resources; National Institute of General Medical Sciences","keywords":"Computer science; Parallel computing; Implementation; CUDA; Scalability; Cluster analysis; Supercomputer; Shared memory; Computer architecture; Programming paradigm; Distributed memory; Field-programmable gate array; Operating system; Programming language; Artificial intelligence","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":[0.001195535,0.0001173312,0.0003701653,0.0001965609,0.0003244641,0.000129899,0.001585844,0.00002166515,0.00001759824],"category_scores_gemma":[0.00001907889,0.00007437687,0.00004988764,0.0004731927,0.00006248047,0.002037104,0.00111189,0.0001397832,0.000001488471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001840166,"about_ca_system_score_gemma":0.00004785993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001381741,"about_ca_topic_score_gemma":0.00001167606,"domain_scores_codex":[0.9987049,0.00007969889,0.0005967895,0.0001641464,0.0002548035,0.0001996739],"domain_scores_gemma":[0.9983015,0.0004068752,0.0003791535,0.0005582845,0.0002901762,0.00006397942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002469826,0.0005014239,0.05250421,0.000442949,0.004375354,0.000004000535,0.04328536,0.28519,0.01913722,0.002475422,0.008641234,0.5831959],"study_design_scores_gemma":[0.0004357237,0.0001752677,0.05720627,0.00006278005,0.0001873079,0.00002916378,0.0006320921,0.9402232,0.0006851399,0.0000318087,0.0002431209,0.00008811924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5950733,0.0001052314,0.4043779,0.0001872531,0.0000875937,0.0001319379,0.00001661001,0.000005276769,0.00001482808],"genre_scores_gemma":[0.8894219,0.00009936594,0.1103152,0.0000595288,0.00007226569,0.000001730766,0.00001996335,0.000003644093,0.000006343652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6550332,"threshold_uncertainty_score":0.3033001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07788277327650803,"score_gpt":0.3280618811365622,"score_spread":0.2501791078600542,"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."}}