Generation of Multiple Turbulent Flow States for the Simulations with Ensemble Averaging

B. Krasnopolsky
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Abstract

The paper deals with the problem of improving the performance of high-fidelity incompressible turbulent flow simulations on high performance computing systems. The ensemble averaging approach, combining averaging in time together with averaging over multiple ensembles, allows to speedup the corresponding simulations by increasing the computing intensity of the numerical method (flops per byte ratio). The current paper focuses on further improvement of the proposed computational methodology, and particularly, on the optimization of procedure to generate multiple independent turbulent flow states.
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集合平均模拟中多种湍流状态的生成
本文研究了在高性能计算系统上提高高保真不可压缩湍流模拟性能的问题。集成平均方法将时间平均与多个集成平均相结合,可以通过增加数值方法的计算强度(每字节的flop比)来加速相应的模拟。本文的重点是进一步改进所提出的计算方法,特别是对产生多个独立湍流状态的过程进行优化。
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