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Acceleration of Computational Fluid Dynamics Simulations by Parallelization of the Linear Equation Solver Using Wavefront Technique

机译:使用波前技术的线性方程求解器的并行化加速计算流体动力学模拟

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Computational fluid dynamics (CFD) uses numerical analysis methods and algorithms to solve and analyze problems that involve fluid flows. These algorithms require very high computational power that does not exist in traditional computers systems. This paper presents code accelerated methodology by parallelizing the linear equation solver and is developed to provide the numerical solution of the steady Navier-Stokes equations, using the Finite Volume Method (FVM) in primitive variables formulation. A case study of incompressible flow in a 2D lid-driven square cavity is investigated for $ext{Re}=1000$. Detailed second order spatially accurate results, where the tertiary vortices were observed, are presented. Co-located grid arrangements along with a uniform structured Cartesian grid up to ${701}^{st} 701$ were used. Strongly implicit procedure is used to solve the resulted linear algebraic equations. The parallelization of SIP solver is implemented by using wave-front technique and was implemented using OpenMP with multi-core processor. The solution time was reduced by 26%.
机译:计算流体动力学(CFD)使用数值分析方法和算法来解决和分析涉及流体流动的问题。这些算法需要在传统计算机系统中不存在的非常高的计算能力。本文通过并行化线性方程求解器来提供代码加速方法,并开发为提供稳定Navier-Stokes方程的数值解,使用原始变量配方中的有限体积法(FVM)。研究了对2D盖子驱动的方形腔中不可压缩流的案例研究 $ text {re} = 1000 $ 。提供了详细的二阶准确结果,其中观察到三级涡流。共同位于栅格布置以及均匀的笛卡尔栅格 $ {701} ^ { AST} 701 $ 被使用了。强烈隐含的程序用于解决所产生的线性代数方程。 SIP求解器的并排化通过使用波前技术来实现,并使用具有多核处理器的OpenMP来实现。解决方案时间减少了26%。

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