Towards Exascale Computation for Turbomachinery Flows
Yuhang Fu, Weiqi Shen, Jiahuan Cui, Yao Zheng, Guangwen Yang, Zhao, Liu, Jifa Zhang, Tingwei Ji, Fangfang Xie, Xiaojing Lv, Hanyue Liu, Xu Liu,, Xiyang Liu, Xiaoyu Song, Guocheng Tao, Yan Yan, Paul Tucker, Steven A.E., Miller, Shirui Luo, Seid Koric, Weimin Zheng

TL;DR
This paper presents a scalable large eddy simulation code for turbomachinery flows, achieving exascale performance on a high-pressure turbine simulation with over a billion mesh elements, advancing towards full engine modeling.
Contribution
Developed a high-performance, scalable LES code for compressible turbomachinery flows that leverages heterogeneous architectures and achieves exascale-level performance.
Findings
Achieved 115.8 DP-PFLOPs on a large turbine cascade simulation.
Successfully simulated over 1.69 billion mesh elements and 865 billion DOFs.
Progressed towards comprehensive engine simulations with all aerodynamic and heat transfer components.
Abstract
A state-of-the-art large eddy simulation code has been developed to solve compressible flows in turbomachinery. The code has been engineered with a high degree of scalability, enabling it to effectively leverage the many-core architecture of the new Sunway system. A consistent performance of 115.8 DP-PFLOPs has been achieved on a high-pressure turbine cascade consisting of over 1.69 billion mesh elements and 865 billion Degree of Freedoms (DOFs). By leveraging a high-order unstructured solver and its portability to large heterogeneous parallel systems, we have progressed towards solving the grand challenge problem outlined by NASA, which involves a time-dependent simulation of a complete engine, incorporating all the aerodynamic and heat transfer components.
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Taxonomy
TopicsComputational Fluid Dynamics and Aerodynamics · Fluid Dynamics and Turbulent Flows · Gas Dynamics and Kinetic Theory
