A parallel decomposition algorithm in application to structural design

Weinert, Matthias; Eschenauer, H.

doi:10.1016/0965-9978(95)00114-x

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…The basic idea behind the coordination strategy of the introduced PARallel DEComposition strategy PARDEC is the inclusion of approximations for all coupling active variables and functions during the subsystem optimizations [17], [18]. Thus, we realize three single steps within the decomposition algorithm PARDEC:…”

Section: Basic Ideamentioning

confidence: 99%

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Decomposition and parallelization strategies for solving large‐scale MDO problems

Grauer

Eschenauer

2007

GAMM-Mitteilungen

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During previous years, structural optimization has been recognized as a useful tool within the discriptines of engineering and economics. However, the optimization of large-scale systems or structures is impeded by an immense solution effort. This was the reason to start a joint research and development (R& D) project between the Institute of Mechanics and Control Engineering and the Information and Decision Sciences Institute within the Research Center for Multidisciplinary Analyses and Applied Structural Optimization (FOMAAS) on cluster computing for parallel and distributed solution of multidisciplinary optimization (MDO) problems based on the OpTiX-Workbench. Here the focus of attention will be put on coarsegrained parallelization and its implementation on clusters of workstations. A further point of emphasis was laid on the development of a parallel decomposition strategy calles PARDEC, for the solution of very complex optimization problems which cannot be solved efficiently by sequential integrated optimization. The use of the OptiX-Workbench together with the FEM ground water simulation system FEFLOW is shown for a special water management problem.

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Section: Basic Ideamentioning

confidence: 99%

“…The first step in each main system cycle is the analysis and sensitivity analysis of the coupled system. In PARDEC, all these computations which also include the formulation of the coupling approximations are carried out by consequently using substructuring [17].…”

Section: Description Of the Algorithmmentioning

confidence: 99%

Decomposition and parallelization strategies for solving large‐scale MDO problems

Grauer

Eschenauer

2007

GAMM-Mitteilungen

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High-Performance Computing for Large-Scale Analysis, Optimization, and Control

Adeli

2000

J. Aerosp. Eng.

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FEM and BEM parallel processing: theory and applications – a bibliography (1996‐2002)

Mackerle¹

2003

Engineering Computations

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This paper gives a bibliographical review of the finite element and boundary element parallel processing techniques from the theoretical and application points of view. Topics include: theory – domain decomposition/partitioning, load balancing, parallel solvers/algorithms, parallel mesh generation, adaptive methods, and visualization/graphics; applications – structural mechanics problems, dynamic problems, material/geometrical non‐linear problems, contact problems, fracture mechanics, field problems, coupled problems, sensitivity and optimization, and other problems; hardware and software environments – hardware environments, programming techniques, and software development and presentations. The bibliography at the end of this paper contains 850 references to papers, conference proceedings and theses/dissertations dealing with presented subjects that were published between 1996 and 2002.

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A parallel decomposition algorithm in application to structural design

Cited by 4 publications

References 9 publications

Decomposition and parallelization strategies for solving large‐scale MDO problems

Decomposition and parallelization strategies for solving large‐scale MDO problems

High-Performance Computing for Large-Scale Analysis, Optimization, and Control

FEM and BEM parallel processing: theory and applications – a bibliography (1996‐2002)

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