国家数值风洞(NNW)集成框架系统研发

白汉利; 陈晓梦; 蒲巧

doi:10.7638/kqdlxxb-2020.0120

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国家数值风洞(NNW)集成框架系统研发

专栏——国家数值风洞自主可控关键技术 | 更新时间：2026-05-28

- 国家数值风洞(NNW)集成框架系统研发
- Development of integration framework system of National Numerical Windtunnel project
- 空气动力学学报 2020年38卷第6期页码：1149-1157
- 作者机构：
  
  1. 中国空气动力研究与发展中心,绵阳,621000
  2. 西南科技大学计算机科学与技术学院,绵阳,621000
- 作者简介：
  
  白汉利(1974-), 男, 山东定陶人, 高级工程师, 研究方向:并行计算, 软件工程.E-mail:baihanli@qq.com
  蒲巧(1994-), 女, 四川阆中人, 硕士, 研究方向:并行计算, 科学工作流.E-mail:puqiao_03@163.com
- 基金信息：
  
  国家数值风洞工程
- DOI：10.7638/kqdlxxb-2020.0120
  中图分类号： TP311
- 纸质出版：2020
- 稿件说明：
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白汉利, 陈晓梦, 蒲巧. 国家数值风洞(NNW)集成框架系统研发[J]. 空气动力学学报, 2020, 38(6): 1149-1157.

BAI Hanli, CHEN Xiaomeng, PU Qiao. Development of integration framework system of National Numerical Windtunnel project[J]. 2020, 38(6): 1149-1157.
白汉利, 陈晓梦, 蒲巧. 国家数值风洞(NNW)集成框架系统研发[J]. 空气动力学学报, 2020, 38(6): 1149-1157. DOI： 10.7638/kqdlxxb-2020.0120.

BAI Hanli, CHEN Xiaomeng, PU Qiao. Development of integration framework system of National Numerical Windtunnel project[J]. 2020, 38(6): 1149-1157. DOI： 10.7638/kqdlxxb-2020.0120.

摘要

在当前空气动力学研究中，各类求解计算程序缺乏与其配套的前后处理平台，容易降低研究人员的工作效率和软件的实用性。针对这一问题，NNW集成框架系统作为国家数值风洞项目（NNW）中数值模拟软件平台的重要组成部分，将前处理软件、求解计算程序、后处理软件集成于统一的集成环境，针对未来E级高性能计算的特点，以中间件为框架核心，按照一定的工作流模型集成多种功能模块，通过过程集成的方式，实现数据集成、计算集成、分析集成。同时，NNW集成框架系统支持对各类求解器的调度、作业管理、实时监控，为用户提供自动化多学科计算平台。通过在实际计算环境下运行计算案例，表明该集成框架系统能够为用户提供完整的计算工具链，快速定制一套或多套网格，并将与之配套的前处理和后处理计算结果可视化。

Abstract

In the current aerodynamic research

various solving calculation programs lack the pre- and post-processing platforms that are compatible with them. This shortage easily reduces the work efficiency of researchers and the practicability of software. In response to this problem

the NNW integrated framework system

as an important part of the numerical simulation software platform in the National Numerical Windtunnel Project (NNW)

integrates the pre-processing software

solving calculation program

and post-processing software into a unified integrated environment. The system considers the characteristics of high-performance computing with middleware as the core of the framework

integrates multiple functional modules according to a certain workflow model

and realizes data integration

calculation integration

and analysis integration through process integration. Moreover

the NNW integrated framework system supports scheduling

job management

and real-time monitoring of various solvers

providing users with an automated multi-disciplinary computing platform. By running the calculation case in an actual calculation environment

it is shown that the integrated framework system can provide users with a complete calculation tool chain

quickly customize one or more sets of grids and visualize the matching pre-processing and post-processing calculation results.

关键词

Keywords

references

SUN Y, JIANG M, MENG D H, et al. Development and application of structured grid deformation program SGDP V1.0 in national numerical windtunnel project[J]. Acta Aerodynamica Sinica, 2020, 38(4):668-676.(in Chinese) DOI:10.7638/kqdlxxb-2020.0048

ZHAO Z, HE L, HE X Y. Design of general CFD software PHengLEI[J]. Computer Engineering and Science, 2020, 42(2):210-219.(in Chinese) DOI:10.3969/j.issn.1007-130X.2020.02.004

VERMA M K, SAMUEL R, CHATTERJEE S, et al. Challenges in fluid flow simulations using exascale computing[J]. SN Computer Science, 2020, 1(3):178. DOI:10.1007/s42979-020-00184-1

GU B B, WU H, CHI X B, et al. Analysis of development of high performance computing applications[J]. E-Science Technology Application, 2014, 5(4):82-91.(in Chinese) DOI:10.11871/j.issn.1674-9480.2014.04.010

KROLL N, ABU-ZURAYK M, DIMITROV D, et al. DLR project Digital-X:Towards virtual aircraft design and flight testing based on high-fidelity methods[J]. CEAS Aeronautical Journal, 2016, 7(1):3-27. DOI:10.1007/s13272-015-0179-7[LinkOut]

GOLOVYNSKYI A, SIRENKO V, LAZARIEV T, et al. High performance computing system design for ANSYS CFD and mechanical codes[C]//15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM). IEEE, 2019: 14-18.

WU C, WANG X N, XIAO H L, et al. Design and implementation of high performance computing environment middleware[J]. Application Research of Computers, 2019, 36(1):163-167.(in Chinese) DOI:10.19734/j.issn.1001-3695.2017.11.0844

ALTINTAS I, BERKLEY C, JAEGER E, et al. Kepler: an extensible system for design and execution of scientific workflows[C]//16th International Conference on Scientific and Statistical Database Management, 2004: 423-424.

BARGA R, JACKSON J, ARAUJO N, et al. The trident scientific workflow workbench[C]//2008 IEEE 4th International Conference on eScience. IEEE, 2008: 317-318.

DEELMAN E, SINGH G, SU M H, et al. Pegasus:a framework for mapping complex scientific workflows onto distributed systems[J]. Scientific Programming, 2005, 13(3):219-237. DOI:10.1155/2005/128026

HULL D, WOLSTENCROFT K, STEVENS R, et al. Taverna:a tool for building and running workflows of services[J]. Nucleic Acids Research, 2006, 34(Web Server):W729-W732. DOI:10.1093/nar/gkl320

FREIRE J, SILVA C T, CALLAHAN S P, et al. Managing rapidly-evolving scientific workflows[M ] //Provenance and Annotation of Data. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006: 10-18. DOI: 10.1007/11890850_2

XU L Y, LI Y P, CHEN B S. Design and implementation of general visual system SiPESC.POST for large scale finite element computation[J]. Chinese Journal of Computational Mechanics, 2015, 32(2):220-224, 231.(in Chinese) DOI:10.7511/jslx201502013

CHEN B S. Advancements of design and development for SiPESC-a software integration platform of numerical simulation[J]. Science and Technology Innovation Herald, 2016, 13(19):178-179.(in Chinese) DOI:10.3969/j.issn.1674-098X.2016.19.099

ROMBERG M. The UNICORE architecture: seamless access to distributed resources[C]//HPDC'99: Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing. 1999. CAT No. 99TH8469, 1999: 287-293.

MCCORMACK R P, KOONTZ J E, DEVANEY J. Seamless computing with WebSubmit[J]. Concurrency:Practice and Experience, 1999, 11(15):949-963. DOI:10.1002/(sici)1096-9128(19991225)11:15949::aid-cpe4623.0.co; 2-y

ATWOOD C A, GOEBBERT R C, CALAHAN J A, et al. Secure web-based access for productive supercomputing[J]. Computing in Science Engineering, 2016, 18(1):63-72. DOI:10.1109/mcse.2015.134

SUKHOROSLOV O, VOLKOV S, AFANASIEV A. A web-based platform for publication and distributed execution of computing applications[C]//201514th International Symposium on Parallel and Distributed Computing. IEEE, 2015: 175-184.

SUH Y K, RYU H, KIM H, et al. EDISON: a web-based HPC simulation execution framework for large-scale scientific computing software[C]//201616th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). IEEE, 2016: 608-612.

CAO R Q, WANG X N, LU S S, et al. High performance computing application integration toolkits based on portlet[J]. E-Science Technology Application, 2017, 8(2):18-30.(in Chinese) DOI:10.11871/j.issn.1674-9480.2017.02.002

HE R, WANG X N, LU S S, et al. Platform for high performance computing environment[J]. Computer Systems Applications, 2019, 28(12):55-62.(in Chinese) DOI:10.15888/j.cnki.csa.007176

CHI X B, XIAO H L, WANG X N, et al. Scientific computing grid and SCE middleware[J]. Journal of Integration Technology, 2012, 1(1):68-76.(in Chinese)

WAN S S, CAO J, YAN C. Aerodynamic design modeling and simulation by developing RFID middleware[J]. Applied Mechanics and Materials, 2014, 543-547:1467-1470. DOI:10.4028/www.scientific.net/amm.543-547.1467[LinkOut]

QIU J, JHA S, LUCKOW A, et al. Towards HPC-ABDS:an initial high-performance big data stack[J]. Building Robust Big Data Ecosystem ISO/IEC JTC, 2014, 1:18-21.

MADDINENI S, KIM J, EL-KHAMRA Y, et al. Distributed application runtime environment (DARE):a standards-based middleware framework for science-gateways[J]. Journal of Grid Computing, 2012, 10(4):647-664. DOI:10.1007/s10723-012-9244-1

WANG C J, CAO J. Scientific workflow-oriented application integration framework[J]. Computer Engineering, 2009, 35(20):258-260, 263.(in Chinese) DOI:10.3969/j.issn.1000-3428.2009.20.091

ZHAO Y, LI Y F, LI X L, et al. An approach to integrate scientific workflow with high performance computing[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(3):457-463.(in Chinese) DOI:10.3969/j.issn.1001-0548.2014.03.024

LI F, SONG F G. A real-time machine learning and visualization framework for scientific workflows[C ] //Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact, New Orleans LA USA. New York, NY, USA: ACM, 2017: 1-8. DOI: 10.1145/3093338.3093380

ZHAO S C, XIAO Y H, DUAN B W, et al. HSWAP:numerical simulation workflow management platform suitable for high performance computing environment[J]. Journal of Computer Applications, 2019, 39(6):1569-1576.(in Chinese) DOI:10.11772/j.issn.1001-9081.2018122606

WANG X V, XU X W. A collaborative product data exchange environment based on STEP[J]. International Journal of Computer Integrated Manufacturing, 2015, 28(1):75-86. DOI:10.1080/0951192x.2013.785028

WIMMER H, YOON V Y, SUGUMARAN V. A multi-agent system to support evidence based medicine and clinical decision making via data sharing and data privacy[J]. Decision Support Systems, 2016, 88:51-66. DOI:10.1016/j.dss.2016.05.008

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