@inproceedings{1894aeb0a7164bcaa0966b303b85dcef,
title = "Toward Exascale Computation for Turbomachinery Flows",
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 [1], which involves a time-dependent simulation of a complete engine, incorporating all the aerodynamic and heat transfer components.",
keywords = "Exascale computing, flux reconstruction method, heterogeneous many-core system, large eddy simulation, Sunway supercomputer, turbomachinery",
author = "Yuhang Fu and Weiqi Shen and Jiahuan Cui and Yao Zheng and Guangwen Yang and Zhao Liu and Jifa Zhang and Tingwei Ji and Fangfang Xie and Xiaojing Lv and Hanyue Liu and Xu Liu and Xiyang Liu and Xiaoyu Song and Guocheng Tao and Yan Yan and Paul Tucker and Steven Miller and Shirui Luo and Seid Koric and Weimin Zheng",
note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 2023 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023 ; Conference date: 12-11-2023 Through 17-11-2023",
year = "2023",
month = nov,
day = "12",
doi = "10.1145/3581784.3627040",
language = "English (US)",
series = "International Conference for High Performance Computing, Networking, Storage and Analysis, SC",
publisher = "Association for Computing Machinery",
booktitle = "SC '23: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis",
address = "United States",
}