{"id":"W7126394018","doi":"10.21428/594757db.552e5df1","title":"GPU Job Scheduler with Deep Reinforcement Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); York University","funders":"","keywords":"Reinforcement learning; Scheduling (production processes); Heuristic; Artificial neural network; Deep learning; GPU cluster; Process (computing); Speedup","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":[],"consensus_categories":[],"category_scores_codex":[0.0001619308,0.00008513462,0.00006700309,0.0001000751,0.00009213768,0.0003338464,0.0003012376,0.0000279051,0.00005884618],"category_scores_gemma":[0.000008537855,0.00006068773,0.00002514974,0.000340432,0.00001562573,0.0002798717,0.0001292729,0.0001361901,0.0001133124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002432109,"about_ca_system_score_gemma":0.00003987228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001054927,"about_ca_topic_score_gemma":0.000001435623,"domain_scores_codex":[0.999297,0.00002194852,0.0001101899,0.0002389841,0.0001714073,0.0001604892],"domain_scores_gemma":[0.9996545,0.00003210462,0.00001759104,0.0002057293,0.0000436723,0.00004640028],"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":[0.000002352086,0.000007395788,0.0002347639,0.0000204002,0.00002494755,0.00002403127,0.000492918,0.6466765,0.00003836336,0.3233398,0.002577203,0.02656141],"study_design_scores_gemma":[0.00005066836,0.00008819425,0.00004822329,0.00003808974,0.00000195792,0.00001370862,0.000008830915,0.9860013,0.0008748478,0.0004210904,0.01234255,0.0001105579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002763278,0.0001474031,0.9331905,0.0004893205,0.00007671423,0.0000579466,7.657807e-9,0.001981555,0.06378023],"genre_scores_gemma":[0.6069396,0.00001856457,0.385572,0.0002103807,0.00002693881,0.000006911184,8.422908e-7,0.000006561201,0.00721821],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6066632,"threshold_uncertainty_score":0.3219289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211586916082872,"score_gpt":0.2489819217935487,"score_spread":0.23686605263272,"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."}}