Abstract
Dynamic management of modern Multi-Processors System on Chip (MPSoC) become mandatory for optimization purpose. Evaluation of these managers is essential early in the design process to guarantee a reduced design cycle. However, most of the existing system-level simulation-based frameworks consider static application mapping and do not consider the run-time management effects. In this work, we present a modeling and simulation approach that allows integration of run-time management strategies in MPSoC system simulation. We have integrated the proposed approach in an industrial modeling and simulation framework. A case-study with seven applications running on a heterogeneous multicore platform is considered and different management strategies are evaluated according to latency and power consumption criteria.
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Notes
- 1.
As can be seen in Fig. 2, \(t_{1,2}\) and \(t_{1,3}\) are executed three times for each iteration of App1. \(App_2\) is a 2-task application.
References
Exynos 5 octa (5422). http://www.samsung.com/exynos
Intel cofluent studio. http://www.intel.com/
Butko, A., Bruguier, F., Novo, D., Gamatié, A., Sassatelli, G.: Exploration of performance and energy trade-offs for heterogeneous multicore architectures. arXiv preprint arXiv:1902.02343 (2019)
IEEE computer society: IEEE standard SystemC language reference manual. IEEE Std. 1666–2011 (9 2011). http://standards.ieee.org/getieee/1666/
Lee, E.A., Messerschmitt, D.G.: Static scheduling of synchronous data flow programs for digital signal processing. IEEE Trans. Comput. 100(1), 24–35 (1987)
Lemaitre, J., Le Moigne, R.: Dynamic migration and performance optimization of deterministic applications across platform components using intel cofluent studio. In: DAC Workshop on System-to-Silicon Performance Modeling and Analysis, June 2015
Lieverse, P., Van Der Wolf, P., Vissers, K., Deprettere, E.: A methodology for architecture exploration of heterogeneous signal processing systems. J. VLSI Signal Process. Syst. Signal Image Video Technol. 29(3), 197–207 (2001)
Pimentel, A., Erbas, C., Polstra, S.: A systematic approach to exploring embedded system architectures at multiple abstraction levels. IEEE Trans. Comput. 55(2), 99–112 (2006)
Quan, W., Pimentel, A.: A hybrid task mapping algorithm for heterogeneous MPSoCs. ACM Trans. Embed. Comput. Syst. (TECS) 14(1), 14 (2015)
Singh, A., Dziurzanski, P., Mendis, H., Indrusiak, L.: A survey and comparative study of hard and soft real-time dynamic resource allocation strategies for multi-/many-core systems. ACM Comput. Surv. (CSUR) 50(2), 24 (2017)
Singh, A.K., Kumar, A., Srikanthan, T.: A hybrid strategy for mapping multiple throughput-constrained applications on MPSoCs. In: Proceedings of the 14th International Conference on Compilers, Architectures and Synthesis for Embedded Systems, pp. 175–184. ACM (2011)
Singh, A.K., Shafique, M., Kumar, A., Henkel, J.: Resource and throughput aware execution trace analysis for efficient run-time mapping on MPSoCs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(1), 72–85 (2016)
Weichslgartner, A., Wildermann, S., Gangadharan, D., Glaß, M., Teich, J.: A design-time/run-time application mapping methodology for predictable execution time in MPSoCs. ACM Trans. Embed. Comput. Syst. (TECS) 17(5), 89 (2018)
Zahaf, H., Benyamina, A., Olejnik, R., Lipari, G.: Energy-efficient scheduling for moldable real-time tasks on heterogeneous computing platforms. J. Syst. Architect. 74, 46–60 (2017)
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Yang, S., Le Nours, S., Méndez Real, M., Pillement, S. (2019). System-Level Modeling and Simulation of MPSoC Run-Time Management Using Execution Traces Analysis. In: Pnevmatikatos, D., Pelcat, M., Jung, M. (eds) Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2019. Lecture Notes in Computer Science(), vol 11733. Springer, Cham. https://doi.org/10.1007/978-3-030-27562-4_20
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