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New cooperative parallel strategy for massive CFD computations of aerodynamic data on multiprocessors

机译:用于在多处理器上对空气动力学数据进行大规模CFD计算的新的协作并行策略

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A new parallel cooperative strategy for iterative multiparametric numerical processes is proposed. The idea of the proposed technology consists in employing the information exchange between the members of the same parametric family. With this end in view, the information on already computed (or partially computed) solutions is distributed in the multilevel way which results in an essential speed-up of the whole parallel process. Based on this general approach, a new efficient strategy of parallel cooperative CFD computations is implemented which allows the practical construction of large-size aerodynamic data-bases by means of high-accuracy Navier-Stokes simulations. The results show that the proposed technology essentially reduces CPU time needed for large-scale aerodynamic computations.
机译:提出了一种迭代的多参数数值过程并行合作策略。所提出的技术的思想在于采用同一参数族成员之间的信息交换。鉴于此,已计算(或部分计算)的解的信息将以多级方式分布,这将大大加快整个并行过程的速度。在这种通用方法的基础上,实现了一种新的并行协作CFD计算的有效策略,该策略允许通过高精度Navier-Stokes仿真来实际构建大型空气动力学数据库。结果表明,所提出的技术实质上减少了大规模空气动力学计算所需的CPU时间。

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