{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001478728,0.001351298,0.000651258,0.00148359,0.0005714932,0.0008968748,0.0009509922,0.001061041,0.001263853],"category_scores_gemma":[0.0109455,0.0004553958,0.0004735376,0.001800999,0.0006560783,0.001779935,0.0007135121,0.001454698,0.0007041123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001233003,"about_ca_system_score_gemma":0.001064142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008133913,"about_ca_topic_score_gemma":0.005481149,"domain_scores_codex":[0.9985873,0.0001914792,0.00008396237,0.0003023912,0.0007312438,0.0001037018],"domain_scores_gemma":[0.9963187,0.001343799,0.0006876289,0.0005753126,0.000968883,0.0001055365],"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":[0.0002325072,0.0002105622,0.01827221,0.0001939263,0.00007421058,0.00009268842,0.0001386661,0.7880692,0.02291066,0.002943721,0.003409527,0.1634521],"study_design_scores_gemma":[0.000003883176,0.0000393069,0.002010808,0.000008306219,0.000004264062,0.00005215042,0.00001269489,0.9914644,0.004345512,0.0011608,0.0008848154,0.00001313852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05579103,0.0005081687,0.9363235,0.0002938742,0.00008394717,0.0001296211,0.0004295908,0.004510303,0.001929967],"genre_scores_gemma":[0.6549356,0.0003583478,0.3402433,0.0002293457,0.00005385718,0.0002635245,0.0009829318,0.0003974101,0.002535602],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008133913,"threshold_uncertainty_score":0.01617312,"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."}}