{"id":"W3177451412","doi":"10.1109/ipdps49936.2021.00068","title":"EAGLE: Expedited Device Placement with Automatic Grouping for Large Models","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Huawei Technologies; Louisiana Board of Regents","keywords":"Computer science; Reinforcement learning; Dimension (graph theory); State (computer science); Artificial neural network; Artificial intelligence; Deep learning; Performance improvement; Algorithm; Engineering","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":[0.0004700533,0.001837319,0.0007454718,0.0004300067,0.0003640382,0.0008462242,0.003113313,0.0009108746,0.006272657],"category_scores_gemma":[0.001441422,0.0006838402,0.0008545085,0.0003740769,0.000578413,0.00166692,0.001572283,0.001618917,0.00217932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009953111,"about_ca_system_score_gemma":0.001412869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005046125,"about_ca_topic_score_gemma":0.01087295,"domain_scores_codex":[0.9996248,0.00006351511,0.00002856196,0.0001147103,0.00009852181,0.00006973874],"domain_scores_gemma":[0.9995627,0.0001114459,0.0000486846,0.0001701497,0.00006540996,0.00004151684],"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":[0.0003760003,0.0001766263,0.001882496,0.0002464761,0.0001230403,0.0003481049,0.0001653139,0.6682806,0.02031191,0.006308971,0.01797974,0.2838008],"study_design_scores_gemma":[0.00003621355,0.00008192079,0.0001633421,0.000009982327,0.00001316068,0.0000489422,0.00002009206,0.9842646,0.008541046,0.002909126,0.003898191,0.00001347882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03605958,0.0005284264,0.9218335,0.0002949022,0.0001501899,0.000151893,0.000399091,0.03595971,0.004622708],"genre_scores_gemma":[0.4898483,0.0002183572,0.5003583,0.0003629696,0.00003607921,0.0002862482,0.001295962,0.001687712,0.005906049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006272657,"threshold_uncertainty_score":0.02098411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0358507021015743,"score_gpt":0.2877214875099629,"score_spread":0.2518707854083886,"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."}}