Final published version
Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Many-Core Real-Time Network-on-Chip I/O Systems for Reducing Contention and Enhancing Predictability
AU - Jiang, Zhe
AU - Dai, Xiaotian
AU - Zhao, Shuai
AU - Wei, Ran
AU - Gray, Ian
PY - 2023/5/9
Y1 - 2023/5/9
N2 - 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.
AB - 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.
U2 - 10.1145/3576914.3587514
DO - 10.1145/3576914.3587514
M3 - Conference contribution/Paper
SP - 227
EP - 233
BT - CPS-IoT Week '23: Proceedings of Cyber-Physical Systems and Internet of Things Week 2023eek 2023
PB - ACM
CY - New York
ER -