DARTS.10.1.1.pdf
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Predictable GPU Sharing in Component-Based Real-Time Systems (Artifact)
Authors
Syed W. Ali 
,
Joseph Goh ,
-
Part of:
Issue:
Special Issue of the 36th Euromicro Conference on Real-Time Systems (ECRTS 2024)
Volume: DARTS, Volume 10 (ECOOP 2024)
Conference: Euromicro Conference on Real-Time Systems (ECRTS)
Journal: Dagstuhl Artifacts Series (DARTS) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2024-07-04
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Syed W. Ali, Zelin Tong, Joseph Goh, and James H. Anderson. Predictable GPU Sharing in Component-Based Real-Time Systems (Artifact). In Special Issue of the 36th Euromicro Conference on Real-Time Systems (ECRTS 2024). Dagstuhl Artifacts Series (DARTS), Volume 10, Issue 1, pp. 1:1-1:5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)
https://doi.org/10.4230/DARTS.10.1.1
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Abstract
This paper presents a real-time locking protocol whose design was motivated by the goal of enabling safe GPU sharing in time-sliced component-based systems. This locking protocol enables a GPU to be shared concurrently across, and utilized within, isolated components with predictable execution times. It relies on a novel resizing technique where GPU work is dimensioned on-the-fly to run on partitions of an NVIDIA GPU. This technique can be applied to any component that internally utilizes global CPU scheduling. The proposed locking protocol enables increased GPU parallelism and reduces GPU capacity loss with analytically provable benefits.
Subject Classification
ACM Subject Classification
- Computer systems organization → Real-time systems
Keywords
- GPU locking protocols
- real-time locking protocols
- priority-inversion blocking
- component-based systems
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References
- Joshua Bakita and James H. Anderson. Hardware compute partitioning on NVIDIA GPUs*. In 2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS), pages 54-66, 2023. URL: https://doi.org/10.1109/RTAS58335.2023.00012.
- Bjorn B. Brandenburg and James H. Anderson. Optimality results for multiprocessor real-time locking. In 2010 31st IEEE Real-Time Systems Symposium, pages 49-60, 2010. URL: https://doi.org/10.1109/RTSS.2010.17.
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P. Emberson, R. Stafford, and R.I. Davis. Techniques for the synthesis of multiprocessor tasksets. WATERS'10, January 2010.
