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JOURNALS // Vestnik Yuzhno-Ural'skogo Gosudarstvennogo Universiteta. Seriya "Vychislitelnaya Matematika i Informatika" // Archive

Vestn. YuUrGU. Ser. Vych. Matem. Inform., 2018 Volume 7, Issue 3, Pages 31–54 (Mi vyurv193)

This article is cited in 2 papers

Supercomputer modeling

Practical aspects of implementation of the parallel algorithm for solving problem of ctenophore population interaction in the Azov Sea

A. I. Sukhinova, A. V. Nikitinab, A. E. Chistyakova, A. A. Semenyakinac

a Don State Technical University (pl. Gagarin 1, Rostov-on-Don, 344000 Russia)
b Southern Federal University (st. Bolshaya Sadovaya 105/42, Rostov-on-Don, 344000 Russia)
c Supercomputers and Neurocomputers Research Center, Co Ltd (Italyansky lane 106, Taganrog, 347900 Russia)

Abstract: The paper covers the development and researching mathematical model of interaction processes between plankton and ctenophore populations based on the modern information technologies and computational methods, which leads to increase of the accuracy of predictive modeling of the ecology situation in shallow water in summer. The model takes into account the following: the transport of water environment; microturbulent diffusion; nonlinear interaction of plankton and ctenophore populations; biogenic, temperature and oxygen regimes; influence of salinity. The computational accuracy is significantly increased, and computational time is decreased at using the calculation method based on partially filled cells for discretization of model. The practical significance is the software implementation of the proposed model, the limits and prospects of its practical use are defined. Experimental software was developed based on multiprocessor computer system, which is intended for mathematical modeling of possible progress scenarios in shallow waters ecosystems on the example of the Azov Sea in summer. We used decomposition methods of grid domains in parallel implementation for computationally laborious convection-diffusion problems, taking into account the architecture and parameters of multiprocessor computer system.

Keywords: mathematical model, hydrological processes, expedition research, ctenophore, Azov Sea, parallel algorithm, multiprocessor computer system.

UDC: 519.6

Received: 25.04.2018

Language: English

DOI: 10.14529/cmse180303



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