Uniformly high order accurate essentially non-oscillatory schemes, 111
Journal of Computational Physics
Efficient implementation of essentially non-oscillatory shock-capturing schemes,II
Journal of Computational Physics
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
An accurate ENO driven multigrid method applied to 3D turbulent transonic flows
Journal of Computational Physics
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
The MOSIX Distributed Operating System: Load Balancing for UNIX
The MOSIX Distributed Operating System: Load Balancing for UNIX
Parallel Large Scale High Accuracy Navier-Stokes Computations on Distributed Memory Clusters
The Journal of Supercomputing
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A new efficient parallelization strategy for optimization of aerodynamic shapes is proposed. The optimization method employs a full Navier-Stokes solver for accurate estimation of the objective function. As such it requires huge computational resources which makes efficient parallelization crucial for successful promotion of the method to an engineering environment. The algorithm is based on a multilevel embedded parallelization approach, which includes (1) parallelization of the multiblock full Navier-Stokes solver with parallel CFD evaluation of objective function, (2) parallelization of optimization process with parallel optimal search on multiple search domains and, finally, (3) parallel grid generation. Applications (implemented on a 144-processors distributed memory cluster) include various transonic profile optimizations in the presence of nonlinear constraints. The results demonstrate that the approach combines high accuracy of optimization with high parallel efficiency. The proposed multilevel parallelization which efficiently makes use of computational power supplied by multiprocessor systems, leads to a significant computational time-saving and allows application of the method to practical aerodynamic design in the aircraft industry.