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An Efficient Algorithm for Parametric WCET Calculation

Stefan Bygde, Andreas Ermedahl, Björn Lisper

Open publisher page 47 citations

Abstract

Static WCET analysis is a process dedicated to derive a safe upper bound of the worst-case execution time of a program. In many real-time systems, however, a constant global WCET estimate is not always so useful since a program may behave very differently depending on its configuration or mode. A parametric WCET analysis derives the upper bound as formula rather than a constant. This paper presents a new efficient algorithm that can obtain a safe parametric estimate of the WCET of a program. This algorithm is evaluated on a large set of benchmarks and compared to a previous approach to parametric WCET calculation. The evaluation shows that the new algorithm, to the cost of some imprecision, scales much better and can handle more realistic programs than the previous approach.

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What this paper is about

Static WCET analysis is a process dedicated to derive a safe upper bound of the worst-case execution time of a program. In many real-time systems, however, a constant global WCET estimate is not always so useful since a program may behave very differently depending on its configuration or mode. A parametric WCET analysis derives the upper bound as formula rather than a constant. This paper presents a new efficient algorithm that can obtain a safe parametric estimate of the WCET of a program. This algorithm is evaluated on a large set of benchmarks and compared to a previous approach to parametric WCET calculation. The evaluation shows that the new algorithm, to the cost of some imprecision, scales much better and can handle more realistic programs than the previous approach.

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OpenAlex reports 47 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Static WCET analysis is a process dedicated to derive a safe upper bound of the worst-case execution time of a program. In many real-time systems, however, a constant global WCET estimate is not always so useful since a program may behave very differently depending on its configuration or mode. A parametric WCET analysis derives the upper bound as formula rather than a constant. This paper presents a new efficient algorithm that can obtain a safe parametric estimate of the WCET of a program. This algorithm is evaluated on a large set of benchmarks and compared to a previous approach to parametric WCET calculation. The evaluation shows that the new algorithm, to the cost of some imprecision, scales much better and can handle more realistic programs than the previous approach.

Key concepts: Computer science, Parametric statistics, Upper and lower bounds, Constant (computer programming), Set (abstract data type), Algorithm, Process (computing), Mathematics

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