Efficient Parallel Computing and Performance Tuning for Multi-Block Structured Grid CFD Applications on Tianhe Supercomputer

WANG Yong-xian; ZHANG Li-lun; CHE Yong-gang; XU Chuan-fu; LIU Wei; CHENG Xing-hua

doi:10.3969/j.issn.0372-2112.2015.01.007

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Efficient Parallel Computing and Performance Tuning for Multi-Block Structured Grid CFD Applications on Tianhe Supercomputer

更新时间：2025-07-16

- Efficient Parallel Computing and Performance Tuning for Multi-Block Structured Grid CFD Applications on Tianhe Supercomputer
- Acta Electronica Sinica Vol. 43, Issue 1, Pages: 36-44(2015)
- 作者机构：
  
  1. 国防科技大学计算机学院,湖南,长沙,410073
  2. 国防科技大学并行与分布处理重点实验室,湖南,长沙,410073
  3. 国防科技大学计算机学院,湖南,长沙,410073
  4. 国防科技大学并行与分布处理重点实验室,湖南,长沙,410073
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61379056, No.11272352);Fund for China Aerodynamics Research and Development Center (No.SKLA20130105)
- DOI：10.3969/j.issn.0372-2112.2015.01.007
  CLC： TP301
- Published：2015
- 稿件说明：
移动端阅览
WANG Yong-xian, ZHANG Li-lun, CHE Yong-gang, et al. Efficient Parallel Computing and Performance Tuning for Multi-Block Structured Grid CFD Applications on Tianhe Supercomputer[J]. Acta Electronica Sinica, 2015, 43(1): 36-44.
DOI：

WANG Yong-xian, ZHANG Li-lun, CHE Yong-gang, et al. Efficient Parallel Computing and Performance Tuning for Multi-Block Structured Grid CFD Applications on Tianhe Supercomputer[J]. Acta Electronica Sinica, 2015, 43(1): 36-44. DOI： 10.3969/j.issn.0372-2112.2015.01.007.

摘要

对多区结构网格大规模CFD流场模拟的高效并行方法进行了研究

以天河超级计算机平台的CPU同构计算环境和CPU+MIC异构计算环境为例

重点讨论了CFD应用特点与超级计算机运行环境相适应的性能优化与改进策略

发展了一系列多层次并行与性能优化方法.通过在天河2高性能计算平台上进行了多个算例的数值模拟

验证了这些优化方法的并行效果;在CPU+MIC异构平台上模拟的最大CFD问题规模达到6800亿个网格单元

共使用137.6万CPU+MIC处理器核

测试结果表明在CPU+MIC异构平台上移植优化后的程序性能提高2.6倍左右

且具有良好的可扩展性.

Abstract

How to improve the parallel performance of CFD applications with typical multi-block structured grid based on the CPU sub-platform of Tianhe-1A and CPU+MIC co-processor heterogeneous platform of Tianhe-2 supercomputer system

is focused in this paper.Some strategies of performance optimization matched with both the characteristic of CFD application and the architectures of high-performance computing (HPC) platform are discussed in detail.Some numerical experiments are performed on Tianhe-2 supercomputer system with the maximum of grid cells achieving 6.810

and the total amount of processors and/or co-processors being 1.37610

.It shows that the optimized cod

e can get a speedup of 2.6 times faster on CPU and co-processor hybrid platform than that on the CPU platform only

and good scalability is also observed from the test results.

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