{"id":"W4285337568","doi":"10.1109/insai54028.2021.00041","title":"TIAS: Two-level Information-Agnostic Job Scheduling in GPU Clusters","year":2021,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scheduling (production processes); Processor scheduling; Parallel computing; GPU cluster; Job scheduler; CUDA; Operating system; Mathematical optimization; Cloud computing; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":{"n_in":0,"stratum":"aff_core","weight":5595.2375,"opus":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"GPU cluster job scheduling algorithm for deep learning workloads; a computer systems contribution, not a study of research."},"gpt":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"The work studies GPU job scheduling for machine-learning workloads, not research as a system or practice."},"grok":{"tier":"OUT","genre":"empirical","about_ca":false,"confidence":"high","reason":"Systems paper on GPU-cluster job scheduling for deep learning workloads, not study of research practice."}}}