Many-Core Real-Time Network-on-Chip I/O Systems for Reducing Contention and Enhancing Predictability

Zhe Jiang, Xiaotian Dai, Shuai Zhao, Ran Wei, Ian Gray

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish
Title of host publicationCPS-IoT Week '23
Subtitle of host publicationProceedings of Cyber-Physical Systems and Internet of Things Week 2023
Number of pages7
ISBN (Print)9798400700491
Publication statusPublished - 9 May 2023
EventCyber-Physical Systems and Internet of Things Week - San Antonio, United States
Duration: 9 May 202312 May 2023


ConferenceCyber-Physical Systems and Internet of Things Week
Abbreviated titleCPS-IoT Week '23
Country/TerritoryUnited States
CitySan Antonio
Internet address

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