Abstract
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 correlation 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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