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Predictably and Efficiently Integrating COTS Cache Coherence in Real-Time Systems

Authors Mohamed Hossam, Mohamed Hassan

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Mohamed Hossam
  • McMaster University, Hamilton, Canada
Mohamed Hassan
  • McMaster University, Hamilton, Canada

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Mohamed Hossam and Mohamed Hassan. Predictably and Efficiently Integrating COTS Cache Coherence in Real-Time Systems. In 34th Euromicro Conference on Real-Time Systems (ECRTS 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 231, pp. 17:1-17:23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022) https://doi.org/10.4230/LIPIcs.ECRTS.2022.17

Abstract

The adoption of multi-core platforms in embedded real-time systems mandates predictable system components. Such components must guarantee the satisfaction of the timing constraints of various applications running on the system. One of the components that can break the system predictability is cache coherence, which ensures the correctness of shared data. This paper proposes a solution towards the enablement of predictable cache coherent real-time systems. The solution uses existing COTS coherence protocols and proposes a methodology to integrate them with legacy real-time arbiters without imposing any required modification to either of them. Doing so, the paper also works as an exploratory study of the integration of various coherence protocols with various predictable arbitration schemes leading to a total of 12 different architecture configurations. Evaluation against four state-of-the-art predictable coherence solutions as well as COTS-based solutions show that the proposed approach achieves the tightest existing latency bounds among predictable solutions with minimal performance degradation over the COTS ones.

Subject Classification

ACM Subject Classification
  • Computer systems organization → Real-time systems
  • Computer systems organization → Real-time system architecture
  • Computer systems organization → Multicore architectures
Keywords
  • Coherence
  • Shared Data
  • Caches
  • Multi-Core
  • Real-Time
  • Memory

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References

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