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RESEARCH OF COMPUTING EFFICIENCY IN MODULAR MULTIPROCESSOR SYSTEMS
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The article is devoted to the research of efficiency of a multiprocessor computing system in solving problems aimed at expanding the computing area. 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.
National Metallurgical Academy of Ukraine
Title: RESEARCH OF COMPUTING EFFICIENCY IN MODULAR MULTIPROCESSOR SYSTEMS
Description:
The article is devoted to the research of efficiency of a multiprocessor computing system in solving problems aimed at expanding the computing area.
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.
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