Recursive-Parallel Algorithm for Solving the Graph-Subgraph Isomorphism Problem

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS
V. V. Vasilchikov
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Abstract

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 well-known 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 the existing isomorphic substitutions or proving their absence. Due to the complexity of the problem, it is natural to want to speed up its solution by parallelizing the algorithm. We use 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. Due to this library, the 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. The author has also developed a special application in C# for generating additional sets of initial data with the specified characteristics. The aim of the experiment is to study the speedup achieved due to the recursively parallel organization of computations. This paper provides a detailed description of the proposed algorithm and the results obtained during the experiment.

Abstract Image

Abstract Image

解决图-子图同构问题的递归-并行算法
摘要 本文提出了一种求解图-子图同构问题的并行算法,并对其效率进行了实验研究。该问题是最著名的 NP-完全问题之一。在解决与复杂结构研究相关的许多实际问题时,可能都需要解决这个问题。我们解决这个问题的方法要求找到所有现存的同构替换或证明它们不存在。由于问题的复杂性,我们自然希望通过并行化算法来加速问题的解决。我们使用作者开发的 RPM_ParLib 库作为算法编程的主要工具。通过该库,我们可以在运行环境 .NET Framework 的控制下,在本地网络上开发有效的并行计算应用程序。有了这个库,应用程序就能在程序执行过程中直接生成并行计算分支,并在计算模块之间动态地重新分配工作。任何支持 .NET Framework 的语言都可以作为编程语言与该库结合使用。在数值实验中,使用了互联网上的一个开放数据库,该数据库是专门为研究搜索同构替换的算法而开发的。作者还用 C# 开发了一个专门的应用程序,用于生成具有指定特征的额外初始数据集。实验的目的是研究递归并行计算所带来的速度提升。本文详细介绍了所提出的算法和实验过程中获得的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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