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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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The paper is devoted to the development of a software system for automatic generation of parallel algorithms for machine learning and evolutionary computation. The structure of the system, scheme of data are described. The issues of implementation of the system related to the generation of parallel code based on MPI technology are considered. Results of testing of the system by constructing parallel code for some standard swarm and evolutionary algorithms are given. This work was supported by RFBR (grant №14-07-00628 A).