Back to Search Start Over

Towards Exascale Computation for Turbomachinery Flows

Authors :
Fu, Yuhang
Shen, Weiqi
Cui, Jiahuan
Zheng, Yao
Yang, Guangwen
Liu, Zhao
Zhang, Jifa
Ji, Tingwei
Xie, Fangfang
Lv, Xiaojing
Liu, Hanyue
Liu, Xu
Liu, Xiyang
Song, Xiaoyu
Tao, Guocheng
Yan, Yan
Tucker, Paul
Miller, Steven A. E.
Luo, Shirui
Koric, Seid
Zheng, Weimin
Publication Year :
2023

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.<br />Comment: SC23, November, 2023, Denver, CO., USA

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2308.06605
Document Type :
Working Paper