An open software framework for multiphysics applications in computational mechanics on parallel and distributed computers

被引:0
|
作者
Chow, P [1 ]
Bailey, C [1 ]
McManus, K [1 ]
Cross, M [1 ]
Addison, C [1 ]
机构
[1] Fujitsu European Ctr Informat Technol Ltd, Uxbridge, Middx, England
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
An open software framework for the computation and model developments of Multiphysics and multidiscipline applications in Computational Mechanics is presented. In order to run coupled problems involving Computational Fluid Dynamics (CFD), Computational Solid Mechanics (CSM), Computational Electromagnetics (CE), and the interactions between the physical phenomena, of reasonable size and in practical timeframes, parallel computation is required. Bringing together the various models (physical, numerical, and computational) needed to construct such an "Analysis Engine" is no simple task. A single software framework could help in such engine constructions. With the present framework, both new and existing elements such as libraries, discretization methods, algorithms and numerical models can all be accommodated comfortably via a component paradigm that is open to interchanges. We illustrate the single-code software strategy behind such an analysis engine for these types of Multiphysics and coupled applications using a casting example case (lead ingots solidify in cast-iron moulds). This example includes analysis of thermal convection, solidification, stress, and interaction behavior, and run on a distributed memory parallel computer, the Fujitsu AP3000.
引用
收藏
页码:127 / 133
页数:7
相关论文
共 50 条
  • [31] SCALABILITY OF FINITE-ELEMENT APPLICATIONS ON DISTRIBUTED-MEMORY PARALLEL COMPUTERS
    JOHAN, Z
    MATHUR, KK
    JOHNSSON, SL
    HUGHES, TJR
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1994, 119 (1-2) : 61 - 72
  • [32] Software framework for distributed experimental-computational simulation of structural systems
    Takahashi, Y
    Fenves, GL
    EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS, 2006, 35 (03): : 267 - 291
  • [33] Parallel Algorithms and Software for Nuclear, Energy, and Environmental Applications. Part I: Multiphysics Algorithms
    Gaston, Derek
    Guo, Luanjing
    Hansen, Glen
    Huang, Hai
    Johnson, Richard
    Knoll, Dana
    Newman, Chris
    Park, Hyeong Kae
    Podgorney, Robert
    Tonks, Michael
    Williamson, Richard
    COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2012, 12 (03) : 807 - 833
  • [34] A framework backbone for software fault tolerance in embedded parallel applications
    Deconinck, G
    Truyens, M
    De Florio, V
    Rosseel, W
    Lauwereins, R
    Belmans, R
    PROCEEDINGS OF THE SEVENTH EUROMICRO WORKSHOP ON PARALLEL AND DISTRIBUTED PROCESSING, PDP'99, 1999, : 189 - 195
  • [35] Pancakes: A Software Framework for Distributed Robot and Sensor Network Applications
    Martin, Patrick
    de la Croix, Jean-Pierre
    Egerstedt, Magnus
    DISTRIBUTED AUTONOMOUS ROBOTIC SYSTEMS, 2013, 83 : 115 - +
  • [36] A test management and software visualization framework for heterogeneous distributed applications
    Ghosh, S
    Bawa, N
    Craig, G
    Kalgaonkar, K
    SIXTH IEEE INTERNATIONAL SYMPOSIUM ON HIGH ASSURANCE SYSTEMS ENGINEERING, 2001, : 106 - 116
  • [37] A distributed real-time software framework for robotic applications
    Kuo, YH
    MacDonald, BA
    2005 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-4, 2005, : 1964 - 1969
  • [38] A performability-oriented software rejuvenation framework for distributed applications
    Tai, AT
    Tso, KS
    Sanders, WH
    Chau, SN
    2005 INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS, PROCEEDINGS, 2005, : 570 - 579
  • [39] A Visual Analytics Framework for Analyzing Parallel and Distributed Computing Applications
    Li, Jianping Kelvin
    Fujiwara, Takanori
    Kesavan, Suraj P.
    Ross, Caitlin
    Mubarak, Misbah
    Carothers, Christopher D.
    Ross, Robert B.
    Ma, Kwan-Liu
    2019 IEEE VISUALIZATION IN DATA SCIENCE (VDS), 2019, : 20 - 28
  • [40] OpenFPM: A scalable open framework for particle and particle-mesh codes on parallel computers
    Incardona, Pietro
    Leo, Antonio
    Zaluzhnyi, Yaroslav
    Ramaswamy, Rajesh
    Sbalzarini, Ivo F.
    COMPUTER PHYSICS COMMUNICATIONS, 2019, 241 : 155 - 177