{"id":"W7132932490","doi":"","title":"Co-location of Deep Learning Jobs in GPU Clusters","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Deep learning; Profiling (computer programming); Speedup; Scheduling (production processes); GPU cluster; Job shop scheduling; Training set","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":[0.001337106,0.001082822,0.0008406242,0.0007081591,0.001439176,0.00209679,0.002351899,0.0005714167,0.008576821],"category_scores_gemma":[0.006377146,0.0006593632,0.0006022431,0.001383948,0.0006159117,0.00182915,0.001927067,0.00173466,0.002646057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001871738,"about_ca_system_score_gemma":0.003685184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006207731,"about_ca_topic_score_gemma":0.01182522,"domain_scores_codex":[0.9979534,0.0003190729,0.0001257054,0.0005565988,0.0004656676,0.0005794567],"domain_scores_gemma":[0.9959912,0.001071681,0.000151895,0.0009856973,0.001042671,0.0007568813],"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":[0.004992932,0.001806585,0.02465552,0.0007484971,0.0003421514,0.0007169373,0.001180429,0.2566894,0.06521767,0.03410184,0.1480612,0.4614868],"study_design_scores_gemma":[0.0002625189,0.0005315991,0.003140568,0.00004261544,0.00006709844,0.0001271449,0.0004222314,0.9047029,0.04622863,0.01162593,0.03278464,0.00006414599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6345525,0.002543804,0.2940637,0.001863052,0.001843856,0.0007114838,0.001762706,0.02609857,0.03656033],"genre_scores_gemma":[0.7940637,0.0003677575,0.1871946,0.0005148575,0.0001092171,0.0003448722,0.002413733,0.00196051,0.01303073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008576821,"threshold_uncertainty_score":0.02869231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992238273421161,"score_gpt":0.3416681504586948,"score_spread":0.3217457677244832,"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."}}