Sayuti, M.N.S.M. and Soares Indrusiak, L. orcid.org/0000-0002-9938-2920 (Accepted: 2025) Toward Predictable Deflection Routing in Routerless NoCs for Real-Time Systems. In: Proceedings of the 2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC). 18th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC 2025), 15-18 Dec 2025, Singapore and online. IEEE. (In Press)
Abstract
Contention between packets on shared resources, such as ejection links, causes high latency on routerless Networks-On-Chip. Missing packet timing guarantees due to high latency render a realtime application unschedulable. Deflection routing is a mechanism that addresses contention when multiple packets try to access the same links simultaneously. Despite its benefits, packets may be deflected more than what their timing guarantees allow in the worst-case scenario. To achieve an upper bound of deflections in conjunction with mapping, we proposed two methods: first, a method that increases the deflections of all communication flows, and second, a method that increases the deflections based on selective communication flows. Our findings, based on running both methods in an evolutionary optimisation, show that the latter outperformed the former, with a statistically significant improvement in the maximum deflection.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | This is an author produced version of a conference paper accepted for publication in Proceedings of the 2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | networks-on-chip, routerless, deflection routing, evolutionary optimisation, design space exploration |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
| Date Deposited: | 24 Nov 2025 16:21 |
| Last Modified: | 24 Nov 2025 16:21 |
| Status: | In Press |
| Publisher: | IEEE |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:234673 |
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