论文标题

使用GPU和Modern Fortran的湍流的大规模直接数值模拟

Large-Scale Direct Numerical Simulations of Turbulence Using GPUs and Modern Fortran

论文作者

Karp, Martin, Massaro, Daniele, Jansson, Niclas, Hart, Alistair, Wahlgren, Jacob, Schlatter, Philipp, Markidis, Stefano

论文摘要

我们介绍了对可持续运输中的应用进行直接数值模拟的直接数值模拟的方法。我们使用Modern Fortran和Spectral Element方法来利用和扩展NVIDIA A100和最近的AMD Instinct MI250X GPU的超级计算机,同时仍为Fortran开发的用户软件提供支持。我们通过在RE = 30'000时对Flettner转子周围的流量进行世界的第一个直接数值模拟来证明我们的方法的效率,并与湍流边界层进行相互作用。我们提供了用于可扩展计算流体动力学的AMD Instinct MI250X和NVIDIA A100 GPU之间的第一个性能比较之一。我们的结果表明,一个MI250X的性能与两个A100 GPU相同,并且具有相似的功率效率。

We present our approach to making direct numerical simulations of turbulence with applications in sustainable shipping. We use modern Fortran and the spectral element method to leverage and scale on supercomputers powered by the Nvidia A100 and the recent AMD Instinct MI250X GPUs, while still providing support for user software developed in Fortran. We demonstrate the efficiency of our approach by performing the world's first direct numerical simulation of the flow around a Flettner rotor at Re=30'000 and its interaction with a turbulent boundary layer. We present one of the first performance comparisons between the AMD Instinct MI250X and Nvidia A100 GPUs for scalable computational fluid dynamics. Our results show that one MI250X offers performance on par with two A100 GPUs and has a similar power efficiency.

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