Том 2 № 133 (СТ ІПБТ)
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Browsing Том 2 № 133 (СТ ІПБТ) by Author "Ivashchenko, Olena Valerievna"
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Item Research of Computing Efficiency in Modular Multiprocessor Systems(НМетАУ, Дніпро, 2021) Ivashchenko, Valery Petrovych; Shvachych, Gennady Grygorovych; Ivashchenko, Olena ValerievnaENG: The article is devoted to the research of efficiency of a multiprocessor computing system in solving problems aimed at expanding the computing area. The purpose of the research is to further develop the approach associated with definition of methodology for effectiveness evaluation of the multiprocessor modular computing system and the impact on this indicator of the calculations deceleration. At the same time, the main attention is paid to the impact peculiarities on this indicator of network interface of multiprocessor system. We should note that the research of these problems is important and relevant. This is not only due to the fundamental limitation of the maximum possible performance of ordinary serial computers, but also to the almost constant existence of computational problems which solution requires additional capabilities of existing computer facilities. The working methods of analyzing the multiprocessor systems efficiency do not allow to determine the optimal number of its nodes for solving a certain class of problems taking into account the calculations deceleration. At the same time, to solution of such problems is short of proper research development on the analysis of the network interface impact on the efficiency of modular multiprocessor computer systems. In addition, to estimate the efficiency of a computing multiprocessor system, the basic analytical relationships are usually not provided through the parameters of the system being studied. The basic regularities concerning the time of solving the problem are revealed, depending on the change in the multiprocessor system calculations area. The research is aimed at determining the deceleration factor associated with the increase of the computing area of a multiprocessor system when compared with the computer version with an unlimited computing area. The analytical ratios are derived for determining the calculations deceleration coefficient. A stage of simulation for calculations of the deceleration factor was carried out to determine the regularities of its change, depending on the application of a particular computing platform. The revealed tendencies of such a change point to the need to reconcile the components of the network interface and computing capabilities of the chosen computing platform. The derived analytical relations were aimed at determining the optimal number of nodes of a multiprocessor system which allow the minimum delay of calculations.