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Amemory-hierarchy-based optimization of MECA (ModifiedEquivalent Current Approximation) for the analysis ofelectrically large dielectric and lossy structures

机译:基于AMEMORY-SHIERARCH的MECA(MODIBIESEQUIVOLENT电流近似)的优化,用于电介质和有损结构的电介质和有损结构的分析

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Asymptotic high frequency computational techniques are widely used in modeling scenarios with electrically large scatterers. A well-known technique of this type, Physical Optics (PO), has been extensively tested in several contexts [1], [2]. Two recent works [3], [4] present a new PO analysis of dielectric and lossy geometries. In this method, called MECA, the interface is discretized into planar triangular facets. Then, the Snell reflection coefficients establish the relation between incident and reflected waves. This modified PO method successfully models problems which may be prohibitive for' full-wave simulation. For the present work, we developed an OpenMP parallel version of MECA in order to reduce even more the execution time. In our parallel code, we implemented memory-hierarchy-based optimization techniques [5], [6]. As seen in the results of this paper, these techniques can improve the computational; performance when calculating the scattered fields.
机译:渐近高频计算技术广泛应用于用电大散射体建模场景。这种类型的众所周知的这种类型的物理光学(PO),在若干上下文中已经广泛测试了[1],[2]。最近的两个作品[3],[4]提出了一种新的介质和有损几何形状的PO分析。在该方法中,称为MECA,将界面离散到平面三角形面上。然后,Snell反射系数建立入射和反射波之间的关系。这种修改的PO方法成功模拟了可能对“全波仿真”禁止的问题。对于目前的工作,我们开发了MECA的OpenMP并行版本,以减少更多的执行时间。在我们的并行代码中,我们实现了基于内存的基于内存的优化技术[5],[6]。如本文的结果所示,这些技术可以改善计算;计算分散字段时的性能。

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