Exploring the Ultimate Regime of Turbulent Rayleigh–Bénard Convection Through Unprecedented Spectral-Element Simulations

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis Pub Date : 2023-11-11 DOI:10.1145/3581784.3627039

Niclas Jansson, Martin Karp, Adalberto Perez, T. Mukha, Yi Ju, Jiahui Liu, Szilárd Páll, Erwin Laure, T. Weinkauf, J. Schumacher, P. Schlatter, S. Markidis

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Abstract

We detail our developments in the high-fidelity spectral-element code Neko that are essential for unprecedented large-scale direct numerical simulations of fully developed turbulence. Major innovations are modular multi-backend design enabling performance portability across a wide range of GPUs and CPUs, a GPU-optimized preconditioner with task overlapping for the pressure-Poisson equation and in-situ data compression. We carry out initial runs of Rayleigh-Bénard Convection (RBC) at extreme scale on the LUMI and Leonardo supercomputers. We show how Neko is able to strongly scale to 16,384 GPUs and obtain results that are not possible without careful consideration and optimization of the entire simulation workflow. These developments in Neko will help resolving the long-standing question regarding the ultimate regime in RBC.

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通过前所未有的谱元模拟探索湍流雷利-贝纳德对流的终极状态

我们详细介绍了我们在高保真谱元代码 Neko 方面的开发成果，这对于前所未有的大规模直接湍流数值模拟至关重要。主要的创新是模块化多后端（multi-backend）设计，可在各种 GPU 和 CPU 上实现性能移植；GPU 优化的预处理程序，可对压力-泊松方程和原位数据压缩进行任务重叠。我们在 LUMI 和 Leonardo 超级计算机上对雷利-贝纳德对流（RBC）进行了超大规模的初始运行。我们展示了 Neko 如何能够将 GPU 强力扩展到 16,384 个，并获得未经仔细考虑和优化整个仿真工作流程而无法实现的结果。Neko 的这些发展将有助于解决有关 RBC 最终机制的长期问题。

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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Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

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