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Experimental Study of Speed Parameters and Resource Intensity of Programming Languages for Embedded Systems

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Artificial Intelligence in Intelligent Systems (CSOC 2021)

Abstract

This article is concerned with an experimental study of speed parameters shown by the C and C++ programming languages. After so much time since the release of these languages, it is still not clear whether the C++ programming language is inferior in efficiency compared to C, its ancestor. The paper is primarily focused on writing functionally identical data structures in both languages and subsequent testing of the speed parameters and resource intensity of the programs. It briefly considers basic algorithms of data structure various representations—graphs. The article describes an experiment was on numerous input data, with the subsequent read-out of the parameters. Based on the data obtained, diagrams were plotted, illustrating the comparison of these languages, conclusions were drawn from the work performed. #CSOC1120

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References

  1. Manber, U.: Algorithms: A Creative Approach

    Google Scholar 

  2. Vlasov, A.I., Shakhnov, V.A., Filin, S.S., Krivoshein, A.I.: Sustainable energy systems in the digital economy: concept of smart machines. Entrepreneurship Sustain. Issues 6(4), 1975–1986 (2019)

    Article  Google Scholar 

  3. Ritchie, D.M., Kernighan, B.W.: The C Programming Language

    Google Scholar 

  4. Yuldashev, M.N., Vlasov, A.I.: Mathematical model of the general problem of state classification in wireless sensor networks. In: IOP Conference Series: Materials Science and Engineering, p. 012002 (2019)

    Google Scholar 

  5. Zhalnin, V.P., Zakharova, A.S., Uzenkov, D.A., Vlasov, A.I., Krivoshein, A.I., Filin, S.S.: Configuration-making algorithm for the smart machine controller based on the internet of things concept. Int. Rev. Electr. Eng. 14(5), 375–384 (2019)

    Google Scholar 

  6. Shakhnov, V.A., Kurnosenko, A.E.: Simulation of digital production of electronics as part of the Industry 4.0 concept. In: Akberdina, V.V. (ed.) The Anthology: Digital Transformation of Industry: Trends, Management, Strategies. Materials of the 1st International Scientific and Practical Conference, pp. 585–594 (2019)

    Google Scholar 

  7. Kleinberg, J., Tardos, E.: Algorithm Design

    Google Scholar 

  8. Khalzev, S.E., Vlasov, A.I., Shakhnov, V.A.: Visual methods of high-level system design for digital hardware components. In: Journal of Physics: Conference Series, p. 42024 (2020)

    Google Scholar 

  9. Cormen, T.H., Leiserson, C.E.: Introduction to Algorithms

    Google Scholar 

  10. Prudius, A.A., Karpunin, A.A., Vlasov, A.I.: Analysis of machine learning methods to improve efficiency of big data processing in Industry 4.0. In: Journal of Physics: Conference Series, vol. 1333, p. 032065. https://doi.org/10.1088/1742-6596/1333/3/032065

  11. Averyanikhin, A.E., Vlasov, A.I., Malevany, A.Yu.: The concept of test environment management in synchronous programming. In: Proceedings of the International Symposium: Reliability and Quality, vol. 2, pp. 135–142 (2019)

    Google Scholar 

  12. Demin, A.A., Vlasov, A.I.: Visual methods of formalization of knowledge in the conditions of the synchronous technologies of system engineering. In: ACM International Conference Proceeding Series 13. Cep. CEE-SECR 2017 - Proceedings of the 13th Central and Eastern European Software Engineering Conference in Russia, p. 3166098 (2017)

    Google Scholar 

  13. Vlasov, A., Yuldashev, M.: Performance analysis of algorithms for energy-efficient data transfer in wireless sensor networks 2019. In: International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2019, p. 8743087 (2019)

    Google Scholar 

  14. Vlasov, A.I., Muraviev, K.A., Prudius, A.A., Uzenkov, D.A.: Load balancing in big data processing systems. Int. Rev. Autom. Control 12(1), 42–47 (2019)

    Google Scholar 

  15. Nazarov, A.V., Shakhnov, V.A., Vlasov, A.I., Novikov, A.N.: Effective algorithm for routing integral structures with twolayer switching. In: Journal of Physics: Conference Series, vol. 1015, p. 032098 (2018)

    Google Scholar 

  16. Vlasov, A.I., Grigoriev, P.V., Krivoshein, A.I., Shakhnov, V.A., Filin, S.S., Migalin, V.S.: Smart management of technologies: predictive maintenance of industrial equipment using wireless sensor networks. Entrepreneurship Sustain. Issues 6(2), 489–502 (2018)

    Article  Google Scholar 

  17. Vlasov, A.I., Juravleva, L.V., Shakhnov, V.A.: Knowledge-based model for formal representation of complex system visual models. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) IntelliSys 2020. AISC, vol. 1251, pp. 618–632. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-55187-2_45

    Chapter  Google Scholar 

  18. Chernov, I.E., Kondakov, N.A., Perederin, K.D., Zhalnin, V.P., Shakhnov, V.A.: Use of the “Via-in-Pad” method to ensure the high-density layout of the conductive pattern when designing multilayer switching structures. Int. J. Adv. Sci. Eng. Inf. Technol. (2020)

    Google Scholar 

  19. Blass, A., Gurevich, Y.: Algorithms: A Quest for Absolute Definitions

    Google Scholar 

  20. Skiena, S.S.: The Algorithm Design Manual

    Google Scholar 

  21. Levitin, A.: Introduction to the Design and Analysis of Algorithms

    Google Scholar 

Download references

Acknowledgements

Some results were obtained in the framework of the State task #0705-2020-0041 “Component’s digital transformation methods’ fundamental research for micro- and nanosystems”.

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Averiyanihin, A.E., Andronov, D.O., Melikyan, S.A., Skalchenkov, I.I. (2021). Experimental Study of Speed Parameters and Resource Intensity of Programming Languages for Embedded Systems. In: Silhavy, R. (eds) Artificial Intelligence in Intelligent Systems. CSOC 2021. Lecture Notes in Networks and Systems, vol 229. Springer, Cham. https://doi.org/10.1007/978-3-030-77445-5_3

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