Jiang, Zhe, Dai, Xiaotian orcid.org/0000-0002-6669-5234, Zhao, Shuai et al. (2 more authors) (2023) Many-Core Real-Time Network-on-Chip I/O Systems for Reducing Contention and Enhancing Predictability. In: CPS-IoT Week '23:Proceedings of Cyber-Physical Systems and Internet of Things Week 2023. Cyber-Physical Systems and Internet of Things Week, 09-12 May 2023 ACM , USA , 227–233.
Abstract
In safety-critical and high-integrity computing, it is important to guarantee both performance and time-predictability of I/O operations. However, with the continued growth of hardware and architectural complexity, satisfying such real-time requirements has become increasingly challenging because of complex I/O transaction paths and extensive hardware contention. This paper proposes a systematic framework with a novel I/O controller and a reconfigurable NoC, effectively optimising I/O transaction paths to encounter reduced contention. Moreover, we present a theoretical model and optimisation process to further improve real-time performance. The evaluations show that our approach outperforms state-of-the-art I/O processing techniques on a range of metrics.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 Copyright held by the owner/author(s). |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 20 Oct 2023 13:20 |
Last Modified: | 10 Dec 2024 00:27 |
Published Version: | https://doi.org/10.1145/3576914.3587514 |
Status: | Published |
Publisher: | ACM |
Identification Number: | 10.1145/3576914.3587514 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:204458 |
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Description: Many-Core Real-Time Network-on-Chip I/O Systems for Reducing Contention and Enhancing Predictability
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