nvshare: Practical GPU Sharing without Memory Size Constraints-Reference-Cited by-同舟云学术

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nvshare: Practical GPU Sharing without Memory Size Constraints

Published:2024-04-14 Issue: Volume: Page:16-20
ISSN:
Container-title:Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings
language:
Short-container-title:

Author:

Alexopoulos Georgios¹²^ORCID,Mitropoulos Dimitris¹²^ORCID

Affiliation:

1. National and Kapodistrian University of Athens, Athens, Greece

2. National Infrastructures for Research and Technology, Athens, Greece

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3639478.3640034

Reference29 articles.

1. CATIE: Centre Aquitain des Technologies de l'Information et Electroniques. https://catie.fr. [Online; accessed 21-October-2023].

2. CUDA zone. https://developer.nvidia.com/cuda-zone. [Online; accessed 21-October-2023].

3. Device Plugins | Kubernetes. https://kubernetes.io/docs/concepts/extend-kubernetes/compute-storage-net/device-plugins/. [Online; accessed 21-October-2023].

4. GPU Sharing Scheduler Extender in Kubernetes. https://github.com/AliyunContainerService/gpushare-scheduler-extender. [Online; accessed 22-October-2023].

5. Kubernetes. https://kubernetes.io/. [Online; accessed 21-October-2023].

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