A Survey of GPU Multitasking Methods Supported by Hardware Architecture-Reference-Cited by-同舟云学术

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A Survey of GPU Multitasking Methods Supported by Hardware Architecture

Published:2022-06-01 Issue:6 Volume:33 Page:1451-1463
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Zhao Chen^ORCID,Gao Wu^ORCID,Nie Feiping^ORCID,Zhou Huiyang^ORCID

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/71/9591458/09548839.pdf?arnumber=9548839

Cited by 9 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. Kernel-as-a-Service;Proceedings of the 24th International Middleware Conference on ZZZ;2023-11-27

2. GPU-Based Algorithms for Processing the k Nearest-Neighbor Query on Spatial Data Using Partitioning and Concurrent Kernel Execution;International Journal of Parallel Programming;2023-07-21

3. 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

4. Dynamic GPU Resource Management in Component-Based Applications;Computer Science and Application;2023

5. Accelerating High-resolution Image Stitching for the Dual Camera System based on GPU;2022 China Automation Congress (CAC);2022-11-25

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