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Fast full-wave modeling of passive structures with graphic processors

机译:具有图形处理器的无源结构的快速全波模型

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A parallel computation approach based on the properties of the Graphics Processor Units (GPU) is here presented to speed-up the broadband modeling of passive 3D structures. The full-wave electromagnetic model is based on a surface integral formulation, numerically implemented by using a null-pinv decomposition of the unknowns. The numerical model has been proven to be accurate and well-posed for a frequency range from DC to hundreds of GHz. A bottleneck of the model is the assembly of fully populated matrices and the final matrix inversion. This paper presents A GPU parallelization of the matrix assembly phase, and analyzes two case-studies which refer to full-wave analysis of interconnects. The achieved speedup with respect to a conventional serial approach is around 50x.
机译:这里提出了一种基于图形处理器单元(GPU)的特性的并行计算方法,以加速被动3D结构的宽带建模。全波电磁模型基于表面整体配方,通过使用未知数的NULL-PINV分解来数量实现。已被证明,从DC到数百GHz的频率范围内已被证明是准确且良好的。该模型的瓶颈是完全填充矩阵的组装和最终矩阵反转。本文介绍了基质组装相的GPU并行化,并分析了两个案例研究,指的是互连的全波分析。相对于传统的串行方法实现的加速度约为50倍。

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