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 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.
Keywords
Cite
@article{arxiv.2308.06605,
title = {Towards Exascale Computation for Turbomachinery Flows},
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 A. E. Miller and Shirui Luo and Seid Koric and Weimin Zheng},
journal= {arXiv preprint arXiv:2308.06605},
year = {2024}
}
Comments
SC23, November, 2023, Denver, CO., USA