K-Scheduler: dynamic intra-SM multitasking management with execution profiles on GPUs-Reference-Cited by-同舟云学术

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K-Scheduler: dynamic intra-SM multitasking management with execution profiles on GPUs

Published:2021-10-12 Issue:1 Volume:25 Page:597-617
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Kim Sejin,Kim Yoonhee^ORCID

Funder

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

https://link.springer.com/content/pdf/10.1007/s10586-021-03429-7.pdf

Reference30 articles.

1. TOP-500. https://www.top500.org/

2. Dean, J., Barroso, L.A.: The tail at scale. Commun. ACM 56(2), 74–80 (2013)

3. EC2 ELASTIC GPUS, A. (2017). https://aws.amazon.com/ec2/Elastic-GPUs/

4. NIMBIX. https://www.nimbix.net/cloud-computing-nvidia/

5. MICROSOFT-AZURE. https://docs.microsoft.com/en-au/azure/virtual-machines/windows/sizes-gpu

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application-aware Resource Sharing using Software and Hardware Partitioning on Modern GPUs;NOMS 2024-2024 IEEE Network Operations and Management Symposium;2024-05-06

2. ROSGM: A Real-Time GPU Management Framework with Plug-In Policies for ROS 2;2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS);2023-05

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