TY - GEN
T1 - Toward Exascale Computation for Turbomachinery Flows
AU - Fu, Yuhang
AU - Shen, Weiqi
AU - Cui, Jiahuan
AU - Zheng, Yao
AU - Yang, Guangwen
AU - Liu, Zhao
AU - Zhang, Jifa
AU - Ji, Tingwei
AU - Xie, Fangfang
AU - Lv, Xiaojing
AU - Liu, Hanyue
AU - Liu, Xu
AU - Liu, Xiyang
AU - Song, Xiaoyu
AU - Tao, Guocheng
AU - Yan, Yan
AU - Tucker, Paul
AU - Miller, Steven
AU - Luo, Shirui
AU - Koric, Seid
AU - Zheng, Weimin
N1 - Publisher Copyright:
© 2023 Owner/Author(s).
PY - 2023/11/12
Y1 - 2023/11/12
N2 - 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.
AB - 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.
KW - exascale computing
KW - flux reconstruction method
KW - heterogeneous many-core system
KW - large eddy simulation
KW - sunway supercomputer
KW - turbomachinery
UR - http://www.scopus.com/inward/record.url?scp=85179546569&partnerID=8YFLogxK
U2 - 10.1145/3581784.3627040
DO - 10.1145/3581784.3627040
M3 - Conference Proceeding
AN - SCOPUS:85179546569
T3 - Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023
BT - Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023
PB - Association for Computing Machinery, Inc
T2 - 2023 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023
Y2 - 12 November 2023 through 17 November 2023
ER -