在图形加速器上模拟水文浅水过程的计算结构发展

A. Nikitina, A. Filina, Y. Belova, T. Lyashchenko, V. Litvinov, L. Kravchenko, A. Zabalueva
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引用次数: 2

摘要

本文介绍了基于现代信息技术和计算方法的亚速海和格伦季克湾浅海水生物过程数学建模计算结构的发展和研究,以提高夏季水域生态状况预测建模的准确性。模型考虑了水流运动;microturbulent扩散;污染物的重力沉降;浮游生物种群非线性相互作用;盐度的影响,温度。提出了带权重的模型离散化方案,大大减少了误差和计算时间。现实意义的工作,该模型是软件实现的;明确了其应用的局限性和前景。实验软件是在图形加速器的基础上设计的,用于在考虑环境影响的情况下对浅水生态系统可能的发展情景进行数学建模。考虑CUDA体系结构的特点,采用扩散-对流问题的计算量分解方法进行并行实现。本文介绍了基于现代信息技术和计算方法的亚速海和格伦季克湾浅海水生物过程数学建模计算结构的发展和研究,以提高夏季水域生态状况预测建模的准确性。模型考虑了水流运动;microturbulent扩散;污染物的重力沉降;浮游生物种群非线性相互作用;盐度的影响,温度。提出了带权重的模型离散化方案,大大减少了误差和计算时间。本文的实际意义在于所提出的模型得到了软件实现;明确了其应用的局限性和前景。在图形加速器的基础上设计了浅水生态系统可能发展情景的数学建模实验软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The computational structure development for modeling hydrological shallow water processes on a graphics accelerator
The paper covers the development and research epy computational structure for mathematical modelling of hydrobiological processes in shallow waters – Azov Sea and Gelendzhik Bay, based on the modern information technologies and computational methods to improve the accuracy of predictive modelling the ecological situations in waters during the summer. The models take into account following: the water flow movement; microturbulent diffusion; gravitational settling of pollutants; plankton populations nonlinear interaction; the salinity impact, temperature. The scheme with weights was proposed for discretization of the developed model, that allowed significantly reduce the error and the computational time. Practical significance of the work is that the proposed model was software implemented; the limits and prospects of its use were defined. The experimental software was designed on the basis of a graphics accelerator for mathematical modelling of possible development scenarios of the shallow waters ecosystems, taking into account the environment influence. Parallel implementation was performed using the decomposition methods for computationally labours diffusion-convection problems taking into account the CUDA architecture characteristics.The paper covers the development and research epy computational structure for mathematical modelling of hydrobiological processes in shallow waters – Azov Sea and Gelendzhik Bay, based on the modern information technologies and computational methods to improve the accuracy of predictive modelling the ecological situations in waters during the summer. The models take into account following: the water flow movement; microturbulent diffusion; gravitational settling of pollutants; plankton populations nonlinear interaction; the salinity impact, temperature. The scheme with weights was proposed for discretization of the developed model, that allowed significantly reduce the error and the computational time. Practical significance of the work is that the proposed model was software implemented; the limits and prospects of its use were defined. The experimental software was designed on the basis of a graphics accelerator for mathematical modelling of possible development scenarios of the shallow waters ecosystem...
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