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 Miller; Shirui Luo; Seid Koric; Weimin Zheng

doi:10.1145/3581784.3627040

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 Miller, Shirui Luo, Seid KoricWeimin Zheng

^*Corresponding author for this work

Department of Mechatronics and Robotics

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

1 Citation (Scopus)

Abstract

A state-of-the-art large eddy simulation code has been developed to solve compressible flows in turbomachinery. The code has been en-gineered 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).

Original language	English
Title of host publication	SC 2023 - International Conference for High Performance Computing, Networking, Storage and Analysis
Publisher	IEEE Computer Society
ISBN (Electronic)	9798400701092
DOIs	https://doi.org/10.1145/3581784.3627040
Publication status	Published - Nov 2023
Event	2023 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023 - Denver, United States Duration: 12 Nov 2023 → 17 Nov 2023

Publication series

Name	International Conference for High Performance Computing, Networking, Storage and Analysis, SC
ISSN (Print)	2167-4329
ISSN (Electronic)	2167-4337

Conference

Conference	2023 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023
Country/Territory	United States
City	Denver
Period	12/11/23 → 17/11/23

Keywords

Exascale computing
flux reconstruction method
heterogeneous many-core system
large eddy simulation
Sunway supercomputer
turbomachinery

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10.1145/3581784.3627040

Cite this

Fu, Y., Shen, W., Cui, J., Zheng, Y., Yang, G., Liu, Z., Zhang, J., Ji, T., Xie, F., Lv, X., Liu, H., Liu, X., Liu, X., Song, X., Tao, G., Yan, Y., Tucker, P., Miller, S., Luo, S., ... Zheng, W. (2023). Towards Exascale Computation for Turbomachinery Flows. In SC 2023 - International Conference for High Performance Computing, Networking, Storage and Analysis (International Conference for High Performance Computing, Networking, Storage and Analysis, SC). IEEE Computer Society. https://doi.org/10.1145/3581784.3627040

@inproceedings{15e3fd510b55490684d4720ffefebe66,

title = "Towards 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 en-gineered 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).",

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,

doi = "10.1145/3581784.3627040",

language = "English",

series = "International Conference for High Performance Computing, Networking, Storage and Analysis, SC",

publisher = "IEEE Computer Society",

booktitle = "SC 2023 - International Conference for High Performance Computing, Networking, Storage and Analysis",

}

Fu, Y, Shen, W, Cui, J, Zheng, Y, Yang, G, Liu, Z, Zhang, J, Ji, T, Xie, F, Lv, X, Liu, H, Liu, X, Liu, X, Song, X, Tao, G, Yan, Y, Tucker, P, Miller, S, Luo, S, Koric, S & Zheng, W 2023, Towards Exascale Computation for Turbomachinery Flows. in SC 2023 - International Conference for High Performance Computing, Networking, Storage and Analysis. International Conference for High Performance Computing, Networking, Storage and Analysis, SC, IEEE Computer Society, 2023 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023, Denver, United States, 12/11/23. https://doi.org/10.1145/3581784.3627040

Towards Exascale Computation for Turbomachinery Flows. / Fu, Yuhang; Shen, Weiqi; Cui, Jiahuan et al.
SC 2023 - International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE Computer Society, 2023. (International Conference for High Performance Computing, Networking, Storage and Analysis, SC).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Towards 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

PY - 2023/11

Y1 - 2023/11

N2 - A state-of-the-art large eddy simulation code has been developed to solve compressible flows in turbomachinery. The code has been en-gineered 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).

AB - A state-of-the-art large eddy simulation code has been developed to solve compressible flows in turbomachinery. The code has been en-gineered 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).

KW - Exascale computing

KW - flux reconstruction method

KW - heterogeneous many-core system

KW - large eddy simulation

KW - Sunway supercomputer

KW - turbomachinery

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U2 - 10.1145/3581784.3627040

DO - 10.1145/3581784.3627040

M3 - Conference Proceeding

AN - SCOPUS:85190420089

T3 - International Conference for High Performance Computing, Networking, Storage and Analysis, SC

BT - SC 2023 - International Conference for High Performance Computing, Networking, Storage and Analysis

PB - IEEE Computer Society

T2 - 2023 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2023

Y2 - 12 November 2023 through 17 November 2023

ER -

Towards Exascale Computation for Turbomachinery Flows

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Keywords

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