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首页> 外文期刊>Numerical Heat Transfer, Part B. Fundamentals: An International Journal of Computation and Methodology >Parallel-in-time simulation of two-dimensional, unsteady, incompressible laminar flows
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Parallel-in-time simulation of two-dimensional, unsteady, incompressible laminar flows

机译:二维非定常不可压缩层流的实时并行模拟

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The present work reports an application of a parallel-in-time algorithm to the solution of the unsteady incompressible Navier-Stokes equations. The parallel-in-time algorithm allows one to decompose the time domain of the problem into several subdomains. The solution is based on the iterative use of a coarse- and a finer-time-grid calculation. Calculation starts with a sequential solution along the time domain on the coarse time grid, and this is followed by the iterative procedure. The temporal evolution on the finer time grid is calculated in parallel. This iterative procedure provides successive corrections for the problem solution. When solving the parabolic-elliptic Navier-Stokes and continuity equations, some problems may emerge from the use of two temporal grids in this predictor-corrector fashion. Among them, we have analyzed the influence of the number of processors, or time subdomains, and the number of iterations required for convergence. In addition, an extension of the algorithm to parallelize simultaneously the space and time domains is presented. Although the proposed methodologies are designed for a massive number of processors, significant computer time saving, compared with a single-processor calculation, could be achieved with a very small number of processors.
机译:本工作报告了一种实时算法在非稳态不可压缩Navier-Stokes方程解中的应用。并行时间算法允许将问题的时域分解为几个子域。该解决方案基于迭代使用粗网格时间和细网格时间的计算。计算从在粗略时间网格上沿时域的顺序解开始,然后是迭代过程。并行计算更精细时间网格上的时间演化。此迭代过程为问题解决方案提供了连续的更正。在求解抛物线椭圆型Navier-Stokes和连续性方程时,以这种预测器-校正器方式使用两个时间网格可能会出现一些问题。其中,我们分析了处理器数量或时间子域的影响以及收敛所需的迭代次数。另外,提出了该算法的扩展以同时并行化时域和时域。尽管建议的方法是为大量处理器设计的,但是与单处理器计算相比,使用很少数量的处理器可以节省大量的计算机时间。

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