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

Type of publication
Publication in Conference Proceedings/Workshop
Authors

G. Ara, T. Cucinotta, A. Mascitti.

Conference / Journal
SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
Publisher
Association for Computing Machinery
Year of publication
2022
Place of publication
NY, NY
Citation

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. https://doi.org/10.1145/3477314.3507030

Abstract

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.

Link to the repository
http://retis.sssup.it/~tommaso/publications/ACM-SAC-2022-PARTSIM.pdf
Link to the publication
https://dl.acm.org/doi/10.1145/3477314.3507030
DOI
https://doi.org/10.1145/3477314.3507030
ISSN number
978-1-4503-8713-2