采用谱元法进行超大规模 CFD 能量模拟

E. Merzari, Victor Coppo Leite, Jun Fang, D. Shaver, Misun Min, S. Kerkemeier, Paul Fischer, A. Tomboulides
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引用次数: 0

摘要

本文介绍了基于 GPU 的开源流体-热模拟代码 NekRS 的开发和应用。时间推进基于高效的 kth 阶精确时间分割公式和可扩展的迭代求解器。空间离散化基于高阶谱元法(SEM),该方法允许快速、低内存、无矩阵算子评估。最近的发展包括使用超集网格和基于 GPU 的拉格朗日粒子跟踪来支持不规则网格。介绍了用于风能应用和广泛核能应用的大气边界层大涡模拟结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy Exascale CFD Simulations with the Spectral Element Method
Development and application of the open-source GPU-based fluid-thermal simulation code, NekRS, is described. Time advancement is based on an efficient kth-order accurate time split formulation coupled with scalable iterative solvers. Spatial discretization is based on the high-order spectral element method (SEM), which allows fast, low-memory, matrix-free operator evaluation. Recent developments include support for nonconforming meshes using overset grids and GPU-based Lagrangian particle tracking. Results of large eddy simulations of atmospheric boundary layers for wind-energy applications and extensive nuclear energy applications are presented.
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