基于gpu加速的特征基函数法(CBFM)用于分层介质复杂平台的高效分析

2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium) Pub Date : 2019-07-01 DOI:10.1109/USNC-URSI.2019.8861918

Yang Su, R. Mittra

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引用次数: 0

摘要

在本文中，我们提出了一种在毫米波(例如30 GHz)下工作的有效数值模拟方案。该方法的关键特征之一是GPU加速适用于涉及分层介质问题的特征基函数方法(CBFM)加速，据我们所知，这在过去还没有做过。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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GPU-Acceleration of Characteristic Basis Function Method (CBFM) for Efficient Analysis of Complex Platforms involving Layered Media

In this paper, we present a scheme for efficient numerical modeling of operating at millimeter wavelength, e.g., 30 GHz. One of the key features of the method is the GPU acceleration adapted for the Characteristic Basis Function Method (CBFM) acceleration for problems involving layered media, which to the best of our knowledge has not been done in the past.

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2019 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)

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