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Choosing a programming language for parallel implementation of algorithms and software tools for optimal parametric synthesis

Lagunova Alina Dmitrievna  (postgraduate, IACP, FEB RAS, Vladivostok)

This article is devoted to the choice of a programming language for the development of effective parallel algorithms and software tools for optimal parametric synthesis, as well as to the analysis of the relevance of parallel computing. The main methods of this research are a literary review of domestic and foreign scientific works, comparison of programming languages, and selection of the most optimal variant using the hierarchy analysis method. In the course of this work, the main advantages and disadvantages of several of the most commonly used programming languages are identified, and the choice of Python as a priority language is justified.

Keywords:High-level language, parallel programming, hierarchy analysis, information technology, Python, Java, C++.
 

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Citation link:
Lagunova A. D. Choosing a programming language for parallel implementation of algorithms and software tools for optimal parametric synthesis // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2020. -№07. -С. 80-85 DOI 10.37882/2223-2966.2020.07.20
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