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Parallel Algorithm for Solving the Graph Isomorphism Problem

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Abstract—

In this paper, we propose a parallel algorithm for solving the graph isomorphism problem. Our goal is to construct a suitable vertex substitution or to prove the absence of such. The problem is solved for undirected graphs without loops and multiple edges; it is assumed that the graphs can be disconnected. The question of the existence or absence of an algorithm with a polynomial complexity is currently open. Therefore, as for any time-consuming task, the question arises about speeding up its solution by parallelizing the algorithm. The RPM_ParLib library developed by the author allows developing effective applications for parallel computing on a local network under the control of the runtime environment .NET Framework. Supporting a recursive-parallel programming style, such applications have the ability to generate parallel branches of computation directly during program execution and dynamically redistribute work between computing modules. The library can be used for applications written in any programming language supported by the .NET Framework. To solve our problem and conduct a numerical experiment, several applications in the C# language were developed. The purpose of the experiment was to study the acceleration achieved due to the recursive-parallel organization of calculations. Specially generated random regular graphs with various degrees of vertices were used as the initial data. A detailed description of the algorithm and experiment, as well as the results obtained, are also given.

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REFERENCES

  1. Garey, M.R. and Johnson, D.S., Computers and Intractability: A Guide to the Theory of NP-Completeness, San Francisco: W.H. Freeman Co., 1979.

    MATH  Google Scholar 

  2. Schmidt, D.C. and Druffel, L.E., A fast backtracking algorithm to test directed graphs for isomorphism using distance matrices, J. ACM, 1976, vol. 23, no. 3, pp. 433–445.

    Article  MathSciNet  Google Scholar 

  3. Babai, L., Graph isomorphism in quasipolynomial time, Proceedings of the Forty-Eighth Annual ACM Symposium on Theory of Computing, 2016, pp. 684–697.

  4. Harary, F., Graph Theory, Addison-Wesley, 1969.

    Book  Google Scholar 

  5. German, Y., German, O., and Dunaev, A., An algorithm for establishing graph’s isomorfism, Proc. BSTI, Issue 3, Phys. Math. Inf., 2017, no. 2, pp. 114–117.

  6. Pogrebnoy, V.K. and Pogrebnoy, A., Polynomial algorithm of computing complete graph invariant on the basis of integral structure descriptor, Bull. Tomsk Polytech. Univ., 2013, vol. 323, no. 5, pp. 152–159.

    Google Scholar 

  7. Pogrebnoy, V.K. and Pogrebnoy, A., Polynomiality of method for computing graph structure integral descriptor, Bull. Tomsk Polytech. Univ., 2013, vol. 323, no. 5, pp. 146–151.

    Google Scholar 

  8. Pogrebnoy, A., Complete graph invariant and algorithm of its computation, Bull. Tomsk Polytech. Univ., 2014, vol. 325, no. 5, pp. 110–122.

    Google Scholar 

  9. Pogrebnoy, A. and Pogrebnoy, V.K., Method of graph vertices differentiation and solution of the isomorphism problem, Bull. Tomsk Polytech. Univ., 2015, vol. 326, no. 6, pp. 34–45.

    Google Scholar 

  10. Pogrebnoy, A. and Pogrebnoy, V.K., Method of graph vertices differentiation and solution of the isomorphism problem in geoinformatics, Bull. Tomsk Polytech. Univ., 2015, vol. 326, no. 11, pp. 56–66.

    Google Scholar 

  11. Melnikov, B.F. and Churikova, N.P., Algorithms of comparative analysis of two invariants of a graph, Sovrem. Inf. Tekhnol. IT-Obraz., 2019, vol. 15, no. 1, pp. 45–51.

    Google Scholar 

  12. Ivanova, G.S. and Ovchinnikov, V.A., Completely described undirected graph structure, Sci. Educ. Bauman MSTU, 2016, no. 4, pp. 106–123.

  13. Vasilchikov, V.V., Sredstva parallel’nogo programmirovaniya dlya vychislitel’nykh sistem s dinamicheskoi balansirovkoi zagruzki (Parallel Programming Tools for Computing Systems with Dynamic Load Balancing), Yaroslavl: YarGU, 2001.

  14. Vasilchikov, V.V., Communication module for organizing a fully connected joining of computers in a local network using .NET Framework, Certificate of State Registration of Computer Program, 2013, no. 2013619925.

  15. Vasilchikov, V.V., Recursive-parallel programming support library for .NET Framework, Certificate of State Registration of Computer Program, 2013, no. 2013619926.

  16. Vasilchikov, V.V., On the recursive-parallel programming for the. NET framework, Autom. Control Comput. Sci., 2014, vol. 48, no. 7, pp. 575–580.

    Article  Google Scholar 

  17. Vasilchikov, V.V., On optimization and parallelization of the little algorithm for solving the travelling salesman problem, Autom. Control Comput. Sci., 2017, vol. 51, no. 7, pp. 551–557.

    Article  Google Scholar 

  18. Vasilchikov, V.V., On a recursive-parallel algorithm for solving the knapsack problem, Autom. Control Comput. Sci., 2018, vol. 52, no. 7, pp. 810–816.

    Article  MathSciNet  Google Scholar 

  19. Steger, A. and Wormald, N., Generating random regular graphs quickly, Comb. Probab. Comput., 1999, vol. 8, no. 4, pp. 377–396.

    Article  MathSciNet  Google Scholar 

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Funding

This work was supported by the initiative program VIP-004 (state registration no. AAAA-A16-116070610022-6).

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Correspondence to V. V. Vasilchikov.

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The author declares that he has no conflicts of interest.

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Translated by T. N. Sokolova

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Vasilchikov, V.V. Parallel Algorithm for Solving the Graph Isomorphism Problem. Aut. Control Comp. Sci. 55, 617–622 (2021). https://doi.org/10.3103/S0146411621070166

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  • DOI: https://doi.org/10.3103/S0146411621070166

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