High-precision Parallel Simulation and Optimization Technology of Thermal Fluid in Numerical Reactor

被引：0

作者：

Dong L. ^{[1
]}

Zhou Z. ^{[1
]}

Dai C. ^{[1
]}

Zhao K. ^{[1
]}

Wu Z. ^{[2
]}

Liu T. ^{[2
]}

Zhao M. ^{[2
]}

Yang W. ^{[2
]}

Hu C. ^{[1
]}

机构：

[1] School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing

[2] Division of Reactor Engineering Technology Research, China Institute of Atomic Energy, Beijing

来源：

Yuanzineng Kexue Jishu/Atomic Energy Science and Technology | 2021年 / 55卷 / 09期

关键词：

Computational fluid dynamics; Matrix multiplication parallel optimization technique; Numerical reactor; Parallel domain decomposition; Spectral element method;

D O I：

10.7538/yzk.2021.youxian.0288

中图分类号：

学科分类号：

摘要：

Thermal fluid simulation is an important part of the numerical reactor. High-precision large-scale numerical calculation is the basis for realizing high-fidelity numerical simulation. The use of computational fluid dynamics (CFD) software for high-precision and large-scale numerical simulation poses a huge challenge to computing resources and storage resources, and requires parallel implementation of supercomputers. The numerical method based on the spectral element method was taken to solve the N-S (Navier-Stokes) equation as the research object in the paper. Aiming at the two core problems of domain decomposition and parallel optimization of Chinese supercomputers based on the typical hybrid architecture, a hybrid parallel recursive spectral bisection method for massive fine meshes was proposed to achieve large-scale domain decomposition, and a set of applications centered on small matrix-matrix multiplication was established. The hybrid parallel large-scale domain decomposition method was tested on the Tianhe-2 Supercomputer. Compared with the serial domain decomposition module of the open source CFD software Nek5000, the performance is improved by about 95%. The small matrix-matrix multiplication optimization for SW26010 was tested on Sunway TaihuLight Supercomputing. When the order of the spectral element reaches 24, the performance is improved by about 51.9%. Both technologies were applied in the core software CVR-PACA of China Numerical Reactor. © 2021, Editorial Board of Atomic Energy Science and Technology. All right reserved.

引用

页码：1581 / 1593

页数：12

共 23 条

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