The intention of the contribution is to give an overview of the use of cluster computing for paralel and distributed solution of multidisciplinary optimization (MDO) problems based on the OpTiX-Workbench. First, a brief summary of nonsequential solution concepts for nonlinear optimization on multiprocessor systems will be given. The focus of attention will be put on coarse-grained parallelization and its implementation on clusters of workstations.
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