Large-Scale direct numerical simulations of turbulence using GPUs and modern Fortran

IF 3.5 3区计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

International Journal of High Performance Computing Applications Pub Date : 2022-06-23 DOI:10.1177/10943420231158616

Martin Karp, D. Massaro, Niclas Jansson, A. Hart, Jacob Wahlgren, P. Schlatter, S. Markidis

引用次数: 3

Abstract

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 a performance comparison 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 based on readings from on-chip energy sensors.

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使用gpu和现代Fortran的大规模直接数值模拟湍流

我们介绍了我们在可持续航运中应用的湍流直接数值模拟方法。我们使用现代Fortran和谱元素方法来利用和扩展由英伟达A100和最近的AMD Instinct MI250X GPU提供动力的超级计算机，同时仍然为用Fortran开发的用户软件提供支持。我们通过对Re=30000时Flettner转子周围的流动及其与湍流边界层的相互作用进行世界上第一次直接数值模拟，证明了我们的方法的有效性。我们展示了AMD Instinct MI250X和Nvidia A100 GPU之间的可扩展计算流体动力学性能比较。我们的研究结果表明，一个MI250X的性能与两个A100 GPU不相上下，并且基于片上能量传感器的读数，其功率效率相似。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of High Performance Computing Applications 工程技术-计算机：跨学科应用

CiteScore

6.10

自引率

6.50%

发文量

审稿时长

>12 weeks

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