Deep Learning Workload Scheduling in GPU Datacenters: A Survey

Deep learning (DL) has demonstrated its remarkable success in a wide variety of fields. The development of a DL model is a time-consuming and resource-intensive procedure. Hence, dedicated GPU accelerators have been collectively constructed into a GPU datacenter. An efficient scheduler design for a...

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Veröffentlicht in:	ACM computing surveys 2024-06, Vol.56 (6), p.1-38, Article 146
Hauptverfasser:	Ye, Zhisheng, Gao, Wei, Hu, Qinghao, Sun, Peng, Wang, Xiaolin, Luo, Yingwei, Zhang, Tianwei, Wen, Yonggang
Format:	Artikel
Sprache:	eng
Schlagworte:	Cloud computing Computer science Computer systems organization Computing methodologies Data centers Deep learning General and reference Machine learning Resource scheduling Resource utilization Scheduling Surveys and overviews Workload Workloads
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