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DTSTART;TZID=America/Denver:20231115T153000
DTEND;TZID=America/Denver:20231115T160000
UID:submissions.supercomputing.org_SC23_sess297_gb107@linklings.com
SUMMARY:Toward Exascale Computation for Turbomachinery Flows
DESCRIPTION:Yuhang Fu, Weiqi Shen, Jiahuan Cui, and Yao Zheng (Zhejiang Un
 iversity); Guangwen Yang and Zhao Liu (Tsinghua University, China; Nationa
 l Supercomputing Center in Wuxi); Jifa Zhang, Tingwei Ji, and Fangfang Xie
  (Zhejiang University); Xiaojing Lv, Hanyue Liu, and Xu Liu (National Supe
 rcomputing Center in Wuxi); Xiyang Liu and Xiaoyu Song (Taiyuan University
  of Technology); Guocheng Tao (Zhejiang University); Yan Yan (Xi’an Jiaoto
 ng-Liverpool University); Paul Tucker (University of Cambridge); Steven Mi
 ller (University of Florida); Shirui Luo and Seid Koric (University of Ill
 inois); and Weimin Zheng (Tsinghua University)\n\nA state-of-the-art large
  eddy simulation code has been developed to solve compressible flows in tu
 rbomachinery. The code has been engineered with a high degree of scalabili
 ty, enabling it to effectively leverage the many-core architecture of the 
 new Sunway system. A consistent performance of 115.8 DP-PFLOPs has been ac
 hieved on a high-pressure turbine cascade consisting of over 1.69 billion 
 mesh elements and 865 billion Degree of Freedoms (DOFs). By leveraging a h
 igh-order unstructured solver and its portability to large heterogeneous p
 arallel systems, we have progressed toward solving the grand challenge pro
 blem outlined by NASA, which involves a time dependent simulation of a com
 plete engine, incorporating all the aerodynamic and heat transfer componen
 ts.\n\nRegistration Category: Tech Program Reg Pass\n\nSession Chair: Barb
 ara Chapman (Hewlett Packard Enterprise (HPE), Stony Brook University)\n\n
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