Measurement-based timing analysis of the AURIX caches
Document typeConference report
PublisherSchloss Dagstuhl - Leibniz-Zentrum für Informatik
Rights accessOpen Access
Cache memories are one of the hardware resources with higher potential to reduce worst-case execution time (WCET) costs for software programs with tight real-time constraints. Yet, the complexity of cache analysis has caused a large fraction of real-time systems industry to avoid using them, especially in the automotive sector. For measurement-based timing analysis (MBTA) - the dominant technique in domains such as automotive - cache challenges the definition of test scenarios stressful enough to produce (cache) layouts that causing high contention. In this paper, we present our experience in enabling the use of caches for a real automotive application running on an AURIX multiprocessor, using software randomization and measurement-based probabilistic timing analysis (MBPTA). Our results show that software randomization successfully exposes - in the experiments performed for timing analysis - cache related variability, in a manner that can be effectively captured by MBPTA.
CitationKosmidis, L., Compagnin, D., Morales, D., Mezzetti, E., Quiñones, E., Abella, J., Vardanega, T., Cazorla, F. Measurement-based timing analysis of the AURIX caches. A: International Workshop on Worst-Case Execution Time Analysis. "16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016)". Toulouse: Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2016, p. 9:1-9:11.