Simulating Execution Time and Power Consumption of Real-Time Tasks on Embedded Platforms

Type of publication
Publication in Conference Proceedings/Workshop

G. Ara, T. Cucinotta, A. Mascitti.

Conference / Journal
SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
Association for Computing Machinery
Year of publication
Place of publication

Gabriele Ara, Tommaso Cucinotta, and Agostino Mascitti. 2022. Simulating execution time and power consumption of real-time tasks on embedded platforms. In Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (SAC '22). Association for Computing Machinery, New York, NY, USA, 491–500.


In this paper, we present PARTSim, an open-source power/thermal-aware simulator for embedded real-time systems. This tool is a fork of the well-known RTSim simulator, which can simulate the timing behavior of a set of real-time tasks with various characteristics when running on a multi-processor platform in presence of a number of real-time scheduling policies. PARTSim extends the functionality of RTSim by introducing support for power-aware embedded platforms exhibiting frequency scaling and specific architectural patterns like the ARM big.LITTLE and DynamIQ ones.

Copyright by ACM.

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