SC23 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

Technical Papers Archive

Toward Exascale Computation for Turbomachinery Flows


Authors: Yuhang Fu, Weiqi Shen, Jiahuan Cui, and Yao Zheng (Zhejiang University); Guangwen Yang and Zhao Liu (Tsinghua University, China; National Supercomputing Center in Wuxi); Jifa Zhang, Tingwei Ji, and Fangfang Xie (Zhejiang University); Xiaojing Lv, Hanyue Liu, and Xu Liu (National Supercomputing Center in Wuxi); Xiyang Liu and Xiaoyu Song (Taiyuan University of Technology); Guocheng Tao (Zhejiang University); Yan Yan (Xi’an Jiaotong-Liverpool University); Paul Tucker (University of Cambridge); Steven Miller (University of Florida); Shirui Luo and Seid Koric (University of Illinois); and Weimin Zheng (Tsinghua University)

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 toward 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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