Recursive-parallel algorithm for solving the graph-subgraph isomorphism problem
Modelirovanie i analiz informacionnyh sistem, Tome 29 (2022) no. 1, pp. 30-43.

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The paper proposes a parallel algorithm for solving the Graph-Subgraph Isomorphism Problem and makes an experimental study of its efficiency. The problem is one of the most famous NP-complete problems. Its solution may be required when solving many practical problems associated with the study of complex structures. We solve the problem in a formulation that requires finding all existing isomorphic substitutions or proving their absence. In view of the high complexity of the problem, it is natural to want to speed up its solution by parallelizing the algorithm. We used the RPM ParLib library, developed by the author, as the main tool to program the algorithm. This library allows us to develop effective applications for parallel computing on a local network under the control of the runtime environment .NET Framework. Thanks to this library, applications have the ability to generate parallel branches of computation directly during program execution and dynamically redistribute work between computing modules. Any language with support of the .NET Framework can be used as a programming language in conjunction with this library. For the numerical experiment, an open database from the Internet was used, which was specially developed to study algorithms for searching for isomorphic substitutions. Also, the author has developed a special application in C# for generating additional sets of initial data with specified characteristics. The aim of the experiment was to study the speedup achieved due to the recursively parallel organization of computations. The paper provides a detailed description of the proposed algorithm, as well as the results obtained during the experiment.
Keywords: graph-subgraph isomorphism problem, parallel algorithm, recursion
Mots-clés : .NET.
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V. V. Vasilchikov. Recursive-parallel algorithm for solving the graph-subgraph isomorphism problem. Modelirovanie i analiz informacionnyh sistem, Tome 29 (2022) no. 1, pp. 30-43. http://geodesic.mathdoc.fr/item/MAIS_2022_29_1_a2/

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