Deep learning workload scheduling in GPU datacenters: a survey

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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Bibliographic Details
Main Authors: Ye, Zhisheng, Gao, Wei, Hu, Qinghao, Sun, Peng, Wang, Xiaolin, Luo, Yingwei, Zhang, Tianwei, Wen, Yonggang
Other Authors: College of Computing and Data Science
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Deep learning systems
Datacenter scheduling
Online Access:https://hdl.handle.net/10356/178253

Internet

https://hdl.handle.net/10356/178253

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