KubeGPU: efficient sharing and isolation mechanisms for GPU resource management in container cloud-Reference-Cited by-同舟云学术

KubeGPU: efficient sharing and isolation mechanisms for GPU resource management in container cloud

Published:2022-07-14 Issue:1 Volume:79 Page:591-625
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Shen Wenfeng,Liu Zhengsen^ORCID,Tan Yunjie,Luo Zhaokai,Lei Zhou

Funder

Shanghai Engineering Research Center of Intelligent Computing System, Shanghai University

The National Key Research and Development Program of China

Key Program of Science and Technology of Yunnan Province

GHfund B

Grand Joint Projects of Shanghai University

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-022-04682-2.pdf

Reference40 articles.

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2. Hindman B, Konwinski A, Zaharia M, Ghodsi A, Joseph AD, Katz RH, Shenker S, Stoica I (2011) Mesos: a platform for fine-grained resource sharing in the data center. In: NSDI, 11:22–22

3. Red Hat OpenShift makes container orchestration easier (2021) https://www.redhat.com/en/technologies/cloud-computing/openshift. Accessed 29 Mar

4. Swarm mode overview (2021) https://www.redhat.com/en/technologies/cloud-computing/openshift. Accessed 29 Mar

5. Kubernetes (2021) https://github.com/kubernetes/kubernetes. Accessed 18 Nov

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