Automatic Scenario Detection for Improved WCET Estimation
Modern embedded applications usually have real-time constraints and they are implemented using heterogeneous multiprocessor systems-on-chip. Dimensioning a system requires accurate estimations of the worst-case execution time (WCET). Overestimation leads to over-dimensioning. This paper introduces a method for automatic discovery of scenarios that incorporate correlations between different parts of applications. It is based on the application parameters with a large impact on the execution time. We show on a benchmark that, using scenarios, the estimated WCET may be reduced with 16%.
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Automatic Scenario Detection for Improved WCET Estimation
S.V. Gheorghita, S. Stuijk, T. Basten and H. Corporaal.
In Design Automation Conference, DAC 05, Proceedings, pages 101-104. Anaheim, California, USA, 13-17 June, 2005. ACM Press, New York, NY, USA, 2005. (abstract, pdf, doi).