Research on GPU parallelization of fluid dynamics process of molten salt reactor core

Chuanwei HU; Yanzhi E; Yang ZOU; Hongjie XU

doi:10.11889/j.0253-3219.2017.hjs.40.110601

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Research on GPU parallelization of fluid dynamics process of molten salt reactor core

NUCLEAR ENERGY SCIENCE AND ENGINEERING | 更新时间：2021-05-19

- Research on GPU parallelization of fluid dynamics process of molten salt reactor core
- NUCLEAR TECHNIQUES Vol. 40, Issue 11, Article number: 110601(2017)
- 作者机构：
  
  1.中国科学院上海应用物理研究所嘉定园区上海 201800
  2.中国科学院大学北京 100049
  3.中国科学院钍基熔盐核能系统研究中心上海 201800
- 作者简介：
- 基金信息：
  
  Strategic Pilot Science and Technology Project of Chinese Academy of Sciences
- DOI：10.11889/j.0253-3219.2017.hjs.40.110601
  CLC： TL334
- Received：16 March 2017，
  
  Revised：19 June 2017，
  
  Published：10 November 2017
- 稿件说明：
移动端阅览
Chuanwei HU, Yanzhi E, Yang ZOU, et al. Research on GPU parallelization of fluid dynamics process of molten salt reactor core[J]. Nuclear techniques, 2017, 40(11): 110601
DOI：

Chuanwei HU, Yanzhi E, Yang ZOU, et al. Research on GPU parallelization of fluid dynamics process of molten salt reactor core[J]. Nuclear techniques, 2017, 40(11): 110601 DOI： 10.11889/j.0253-3219.2017.hjs.40.110601.

摘要

使用计算流体力学（Computational Fluid Dynamics，CFD）数值方法对熔盐堆堆芯的流动和热传导等相关物理问题进行模拟求解，需要大量的计算时间。利用图形处理器（Graphics Processing Unit，GPU）加速技术对开源CFD软件Code_Saturne进行二次开发，研究求解熔盐堆堆芯流场的GPU并行算法。采用OpenACC语言在GPU上实现了向量运算、矩阵向量相乘等基本线性代数运算，从而实现预处理共轭梯度法（Preconditioned Conjugate Gradients，PCG）的GPU并行算法，并使用该算法求解压力状态方程。模拟了方腔驱动流模型及带下降段的熔盐堆堆芯模型的流场分布。结果表明，GPU加速后的软件与原版软件的结果一致，但计算时间更少，证明了GPU算法的正确性及有效的加速性。

Abstract

Background

The simulation of fluid dynamics process for molten salt reactor proposes a large compute complexity

which requires high performance computer systems to enhance speed and efficiency.

Purpose

This study aims to achieve graphics processing unit (GPU) parallelization of fluid dynamics process of molten salt reactor core.

Methods

OpenACC directives were used as the main programming model to speed up the vector and matrix linear operation. And the preconditioned conjugate gradients for solving linear equations were implemented on the GPU. Finally

the parallel implementation and general optimization strategies to the OpenACC version of Code_Saturne were tested and validated on a simplified molten salt reactor.

Results

From the result of the implementation of the GPU-parallel code

it is manifested that the empirical tuning of OpenACC accelerated code sections are valid for obtaining correct results

and enhancing performance and portability.

Conclusion

With OpenACC

we find that the instance of fluid dynamics process for molten salt reactor is given out using the GPU version of Code_Saturne and the performance of the GPU version of Code_Saturne can be enhanced compared with that of the CPU version.

关键词

Keywords

references

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