{"id":"W1837798711","doi":"10.1109/tpds.2014.2329688","title":"Parallel Application Signature for Performance Analysis and Prediction","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación; Ministerio de Economía y Competitividad; Mountain Equipment Co-operative","keywords":"Computer science; Signature (topology); Message passing; Performance prediction; Parallel computing; Supercomputer; Parallel processing; Distributed computing; Data mining; Simulation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003462871,0.0001889743,0.0002812016,0.0002151875,0.000410193,0.0001808562,0.0001993287,0.0001583272,9.424496e-7],"category_scores_gemma":[0.000005517131,0.0001725646,0.00008657465,0.0005600459,0.00004597293,0.0002556824,0.000003582473,0.0001371209,0.000002558459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002971703,"about_ca_system_score_gemma":0.00001586757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003755372,"about_ca_topic_score_gemma":0.000007372912,"domain_scores_codex":[0.9987124,0.00008226278,0.0003181951,0.0004949486,0.0001740529,0.0002181631],"domain_scores_gemma":[0.9991171,0.0001343889,0.0001332128,0.0003697918,0.0001241506,0.0001213124],"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":[0.00003390661,0.0000572928,0.0002846666,0.00005614662,0.0001106339,1.168626e-7,0.00005971011,0.9869576,0.00007460297,0.001441202,0.0003097856,0.01061431],"study_design_scores_gemma":[0.0005239001,0.0001805876,0.001364002,0.00001945045,0.0001039509,0.00000782641,0.000012668,0.9956247,0.0001195535,0.0001741289,0.001686076,0.0001832008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00261676,0.0001521653,0.9957832,0.0001679558,0.0001598103,0.0004942061,0.000129441,0.0004196088,0.00007684845],"genre_scores_gemma":[0.9748625,0.0001432574,0.02432225,0.00005380832,0.00003690678,0.0003096239,0.00009695292,0.000008546878,0.0001661386],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9722458,"threshold_uncertainty_score":0.703698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009504642863838113,"score_gpt":0.2248824556128849,"score_spread":0.2153778127490468,"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."}}