Digital Signal Processing and Artificial Intelligence for Automatic Learning

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Digital Signal Processing and Artificial Intelligence for Automatic Learning

Parallel Software Framework for Time-Critical Core Systems

Vincent Nelis, Patrick Meumeu Yomsi, and LuÃƒÂs Miguel Pinho
Vincent Nelis, Patrick Meumeu Yomsi, and LuÃƒÂs Miguel Pinho

Abstract: The Parallel Software Framework for Time-Critical Many-Core Systems aims to develop a new design framework that allows current and future applications with high performance and real-time requirements to fully exploit the huge performance opportunities of the most advanced many-core processors. We have developed a new timing analysis methodology to estimate the maximum execution time of parallel applications running on a many-core architecture. We discuss briefly the results obtained by running it on the three project use cases on the many-core development board.

Keywords: Parallel Software, Software Framework, Time Critical Systems Parallel Software Framework for Time-Critical Core Systems

DOI:https://doi.org/10.6025/dspaial/2024/3/1/23-30

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References:

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[2] Kalray Corporation. (2015, April 8). Kalray. Retrieved from http://www.kalrayinc.com.
[3] Fonseca, J. C., Nélis, V., Raravi, G., Pinho, L. M. (2015). A multi-DAG Model for Real-time Parallel Applications with Conditional Execution. In 30th Annual ACM Symposium on Applied Computing (pp. 1925–1932). Salamanca, Spain.
[4] Maia, C., Bertogna, M., Nogueira, L., Pinho, L. M. (2014). Response-time analysis of synchronous parallel tasks in multiprocessor systems. In 22nd International Conference on RealTime Networks and Systems (pp. 3:3–3:12). Versailles, France: ACM.
[5] Melani, A., Bertogna, M., Bonifaci, V., Marchetti-Spaccamela, A., Buttazzo, G. C. (2015). Response-Time Analysis of Conditional DAG Tasks in Multiprocessor Systems. In 27th Euromicro Conference on Real-Time Systems (pp. 211–221).
[6] Nélis, V., Yomsi, P. M., Pinho, L. M. (2016). The Variability of Application Execution Times on a Multi-Core Platform. In 16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016) (Vol. 55, pp. 6:1–6:11). Schloss Dagstuhl – Leibniz-Zentrum fuerInformatik. doi:10.4230/OASIcs.WCET.2016.6.
[7] P-SOCRATES – Parallel Software Framework for Time-Critical Many-core Systems. (n.d.). Retrieved from http://www.p-socrates.eu.
[8] Pinho, L., Nélis, V., Yomsi, P. M., Quiñones, E., Bertogna, M., Burgio, P., ... Mardiak, M. (2015). P-SOCRATES: a Parallel Software Framework for Time-Critical Many-Core Systems. Microprocessors and Microsystems (MICPRO), 39(8), 1190–1203. Elsevier.
[9] Serrano, M. A., Melani, A., Vargas, R., Marongiu, A., Bertogna, M., Quiñones, E. (2015). Timing characterization of OpenMP4 tasking model. In International Conference on Compilers, Architecture and Synthesis for Embedded Systems (CASES) (pp. 157–166).

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