Hardware Compute Partitioning on NVIDIA GPUs*-Reference-Cited by-同舟云学术

Hardware Compute Partitioning on NVIDIA GPUs*

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS)
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Author:

Bakita Joshua¹,Anderson James H.¹

Affiliation:

1. University of North Carolina at Chapel Hill,Department of Computer Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10155641/10155676/10155679.pdf?arnumber=10155679

Reference45 articles.

1. GPUSync: A Framework for Real-Time GPU Management

2. nvgpu git repository;Nvidia,0

3. TimeGraph: GPU scheduling for Real-Time Multi-Tasking environments;kato;in Proceedings of the 2011 USENIX Annual Technical Conference USENIX Association,2011

4. Neural network scheduler;tasinga,2022

5. Developing real-time GPU-sharing platforms for artificial-intelligence applications;otterness,2022

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