{"id":"W4232724790","doi":"10.1109/sc.2012.11","title":"A practical method for estimating performance degradation on multicore processors, and its application to HPC workloads","year":2012,"lang":"en","type":"article","venue":"2012 International Conference for High Performance Computing, Networking, Storage and Analysis","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Workload; Multi-core processor; Supercomputer; Distributed computing; Data center; Consolidation (business); Computer cluster; Fidelity; Operating system; Embedded system; Parallel computing; Computer architecture","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00123662,0.0002884973,0.0003562662,0.0003896437,0.000567989,0.000291458,0.0004829173,0.0000937095,0.000005157046],"category_scores_gemma":[0.00007819079,0.0002651531,0.00009020678,0.0005809803,0.0000268266,0.0002943219,0.0002779138,0.0001875974,0.000005523277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007954891,"about_ca_system_score_gemma":0.00003005395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000109749,"about_ca_topic_score_gemma":0.000004420119,"domain_scores_codex":[0.9979579,0.00005269858,0.0004445383,0.0006393002,0.000376312,0.0005291899],"domain_scores_gemma":[0.9984518,0.0003022381,0.0004217195,0.0002777889,0.0003509432,0.0001955658],"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":[0.0001297428,0.0002423041,0.01245036,0.0002351793,0.0006094025,5.787937e-7,0.002073835,0.2040294,0.00009333318,0.03304487,0.0006773444,0.7464136],"study_design_scores_gemma":[0.0004064807,0.0001947199,0.005708098,0.0001364557,0.000183191,0.000006375514,0.0000432691,0.9890251,0.0001288185,0.00007536283,0.003766056,0.0003260544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2937883,0.00007945121,0.7043656,0.0006820615,0.0004418843,0.0004604486,0.000004258963,0.00008679084,0.00009128285],"genre_scores_gemma":[0.7284176,0.00002067782,0.2701528,0.0002523965,0.0007539053,0.0001080402,0.0000428414,0.00001356855,0.0002381291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7849957,"threshold_uncertainty_score":0.9999801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873405217948245,"score_gpt":0.328558941841751,"score_spread":0.2898248896622685,"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."}}