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Contention and Reliability-Aware Energy Efficiency Task Mapping on NoC-Based MPSoCs

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Názov: Contention and Reliability-Aware Energy Efficiency Task Mapping on NoC-Based MPSoCs
Autori: Lei Mo, Xinmei Li, Angeliki Kritikakou, Xiaojun Zhai
Prispievatelia: Mo, Lei
Zdroj: IEEE Transactions on Reliability. 74:2010-2026
Informácie o vydavateľovi: Institute of Electrical and Electronics Engineers (IEEE), 2025.
Rok vydania: 2025
Predmety: Task mapping, Reliability-aware, Energy Management, Contention-aware, NoC, 7. Clean energy, [INFO.INFO-ES] Computer Science [cs]/Embedded Systems
Popis: Recently, Network-on-Chip (NoC)-based Multi-Processor System-on-Chips (MPSoCs) have become popular computing platforms for real-time applications due to high communication performance and energy efficiency over traditional bus-based MPSoCs. Due to the nature of network structures, network congestion along with transient faults, can significantly affect communication efficiency and system reliability. Most existing works have rarely focused on the concurrent optimization of network contention, reliability, and energy consumption. Here, we study the problem of contention and reliability-aware task mapping under real-time constraints for dynamic voltage and frequency scaling-enabled NoC. The problem entails optimizing voltage/frequency on cores and links to reduce energy consumption and ensure system reliability, while task mapping and slack time are adopted to alleviate network contention and reduce latency. We aim to minimize computation and communication energy and balance workload. This problem is formulated as a mixed-integer nonlinear programming, and we present an effective linearization scheme that equivalently transforms it into a mixed-integer linear programming to find the optimal solution. To reduce computation time, we propose a three-step heuristic, including task allocation, frequency scaling and edge scheduling, and communication contention management. Finally, we perform extensive simulations to evaluate the proposed method. The results show we can achieve 31:6% and 21:7% energy savings, with 95:5% and 98:6% less contention than the existing methods.
Druh dokumentu: Article
Popis súboru: application/pdf
ISSN: 1558-1721
0018-9529
DOI: 10.1109/tr.2024.3377732
Prístupová URL adresa: https://hal.science/hal-04528715v1
https://hal.science/hal-04528715v1/document
https://doi.org/10.1109/tr.2024.3377732
Rights: IEEE Copyright
CC BY
Prístupové číslo: edsair.doi.dedup.....6a790e8e83e05081b3983732415f04cc
Databáza: OpenAIRE
Popis
Abstrakt:Recently, Network-on-Chip (NoC)-based Multi-Processor System-on-Chips (MPSoCs) have become popular computing platforms for real-time applications due to high communication performance and energy efficiency over traditional bus-based MPSoCs. Due to the nature of network structures, network congestion along with transient faults, can significantly affect communication efficiency and system reliability. Most existing works have rarely focused on the concurrent optimization of network contention, reliability, and energy consumption. Here, we study the problem of contention and reliability-aware task mapping under real-time constraints for dynamic voltage and frequency scaling-enabled NoC. The problem entails optimizing voltage/frequency on cores and links to reduce energy consumption and ensure system reliability, while task mapping and slack time are adopted to alleviate network contention and reduce latency. We aim to minimize computation and communication energy and balance workload. This problem is formulated as a mixed-integer nonlinear programming, and we present an effective linearization scheme that equivalently transforms it into a mixed-integer linear programming to find the optimal solution. To reduce computation time, we propose a three-step heuristic, including task allocation, frequency scaling and edge scheduling, and communication contention management. Finally, we perform extensive simulations to evaluate the proposed method. The results show we can achieve 31:6% and 21:7% energy savings, with 95:5% and 98:6% less contention than the existing methods.
ISSN:15581721
00189529
DOI:10.1109/tr.2024.3377732