面向流体机械仿真的层次化并行计算模型

肖兮; 刘闯; 何锋; 张琼; 张兴军; 董小社

doi:10.7652/xjtuxb201902016

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面向流体机械仿真的层次化并行计算模型

更新时间：2025-07-09

- 面向流体机械仿真的层次化并行计算模型
- Design and Implementation of a Parallel Computing Model for Fluid Machinery
- 西安交通大学学报 2019年53卷第2期页码：121-127
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2018-06-25。作者简介: 肖兮(1995—),男,硕士生;董小社(通信作者),男,教授,博士生导师。基金项目: 国家“十三五”重点研发计划资助项目(2016YFB0200902);国家自然科学基金资助项目(61572394)
- DOI：10.7652/xjtuxb201902016
  中图分类号： TP338.6
- 网络首发：2019-02-10，
  
  纸质出版：2019
- 稿件说明：
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肖兮, 刘闯, 何锋, 等. 面向流体机械仿真的层次化并行计算模型[J]. 西安交通大学学报, 2019,53(2):121-127.

Design and Implementation of a Parallel Computing Model for Fluid Machinery[J]. 2019, 53(2): 121-127.
肖兮, 刘闯, 何锋, 等. 面向流体机械仿真的层次化并行计算模型[J]. 西安交通大学学报, 2019,53(2):121-127. DOI： 10.7652/xjtuxb201902016.

Design and Implementation of a Parallel Computing Model for Fluid Machinery[J]. 2019, 53(2): 121-127. DOI： 10.7652/xjtuxb201902016.

摘要

随着流体机械基础并行算法的发展

传统的单核处理器已经不能很好地满足先进流体机械研发的技术需求

为此本文深入研究了流体机械的物理模型以及高性能计算机架构特点

设计并实现了能够充分表达物理模型并行性的高效的面向流体机械仿真的层次化并行计算模型(HP2H)。HP2H模型充分考虑流体机械的多层几何结构以及高性能计算机的多层逻辑架构

深入挖掘计算平台、计算模型以及物理模型的并行性

实现从物理模型到计算资源的高效任务映射。依据具体的轴流压气机转子数值模拟的实际应用背景

结合粗粒度并行和细粒度并行对模型进行实现。对HP2H计算模型进行了功能测试和性能测试

当计算核心从36核提升到432核时

计算性能提升约12倍

并行效率达到了100%。实验结果表明

HP2H计算模型不但在正确地对流体机械进行数值模拟的前提下实现了较好的计算性能

并且由于HP2H计算模型结合了粗粒度并行与细粒度并行

因而可以在不同的计算平台上运行

还可以便捷地实现计算规模的扩展

具有良好的可移植性与可扩展性。

Abstract

The traditional single-core processor can not meet the technical requirements of advanced fluid machinery research and development with researches on the basic parallel algorithms of fluid machine

while the rapid development of high-performance computer provides a solution. Physical modeles of fluid machinery and the architecture of high-performance computers are deeply studied

and an efficient parallel computing model(HP2H)that can fully express the parallelism of the physical model is designed. HP2H takes fully account of multi-layer geometry of a fluid machinery and multi-layered logic architecture of a high-performance computer. Moreover

HP2H deeply exploits the parallelism of computing platforms

computing models and physical models to achieve efficient task mappings from physical models to computing resources. According to the actual application background of the numerical simulation of axial-flow compressor rotors

the model is parallelly implemented with coarse-grained parallelism and fine-grained parallelism. Functional tests and performance tests are performed on HP2H computing model. Results show that when the computing core is upgraded from 36 cores to 432 cores

the computational performance increases by 12 times and the parallel efficiency achieves 100%. Experimental results show that HP2H achieves a good computing performance under the premise of correctly implementing the numerical simulation of the turbomachinery. It is the use of coarse-grained parallelism and fine-grained parallelism

HP2H can run on different computing platforms and easily realize the expansion of computing scale

which means that the HP2H computing model has a good portability and scalability.

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references

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