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Direct numerical simulation of turbulence on a SGI origin 3800

机译:SGI原点3800上的湍流直接数值模拟

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This contribution concerns the parallel solution of the incompressible Navier-Stokes equations for direct numerical simulation (DNS) of turbulent flow. The parallelization is based on the idea of splitting the flow domain into smaller subdomains which can be treated independent of each other. To compute the convective and diffusive term in parallel, the flow domain is partitioned in the streamwise direction. The computational time of this part of the algorithm scales superlinear with the number of processors, as the cache is more efficiently used as the problemsize per processor decreases. To solve the pressure in parallel, we make explicitly use of the fact that the turbulent flow under consideration is statistically homogeneous in the spanwise direction. The Poisson equation for the pressure can then be solved using a combination of a Fast Fourier Transform method in the spanwise direction and an Incomplete Choleski Conjugate Gradient method in the spectral space. The FFT is computed in parallel by treating the unknowns simultaneously in the streamwise direction, while the ICCG is computed in parallel by treating the unknowns simultaneously in the spanwise direction. The MPI implementation of the FFT/ICCG solver shows a very good scalability that is very close to ideal speed-up.
机译:该贡献涉及不可压缩Navier-Stokes方程的并行解决方案,用于湍流的直接数值模拟(DNS)。并行化基于将流动域分成较小的子域的想法,该概念可以彼此独立地处理。为了平行计算对流和扩散术语,流动域在流动方向上划分。算法的这一部分的计算时间缩放了具有处理器的数量的超线性,因为高速缓存更有效地使用,因为每个处理器的问题减少。为了并行地解决压力,我们明确地利用了所考虑的湍流在翼展方向上统计上均匀的事实。然后可以使用快速傅里叶变换方法的组合在跨向方向上的组合和光谱空间中的不完全Choleski共轭梯度方法来解决压力的泊松方程。通过在流动方向上同时处理未知,同时通过在南瓜方向上同时处理未知来计算FFT来并行地计算。 FFT / ICCG求解器的MPI实现显示了非常好的可扩展性,非常接近理想的加速。

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