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Electromagnetic-Thermal Co-simulation of Large Antenna Array on Platform Using Enhanced Finite Element Solver with Massively Parallel Computing Capability

机译:使用具有大规模并行计算能力的增强型有限元求解器,对平台上的大型天线阵列进行电磁-热协同仿真

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Electromagnetic-thermal co-simulation of large antenna array on platform is performed using in-house enhanced finite element solver with massively parallel computing capability. It appropriately integrates both domain decomposition method (DDM) so as to solve very large complex matrix efficiently during the implementation of finite element procedure. Its massively parallel computing capability is examined on the supercomputer, where the antenna arrays of $16^{st}16$ operating at 2.5 GHz, together with their platform are simulated, respectively, and its accuracy is validated in comparison with the numerical result obtained by commercial software but just with small scale. The computational efficiency of such in-house developed solver can reach a speedup of 7.149 and strong scalability efficiency of 64.2% on 512 CPU cores of 32 computing nodes, and its speedup, scalability and efficiency are also examined. In particular, not only the radiation characteristics but also the surface temperature distribution of large antenna arrays are for the first time addressed in the high –power operating state, which directly support their reliability design.
机译:平台上大型天线阵列的电磁热协同仿真是使用具有大规模并行计算功能的内部增强型有限元求解器进行的。它适当地集成了两种域分解方法(DDM),以便在实施有限元过程期间有效地解决非常大的复杂矩阵。它的大规模并行计算能力在超级计算机上进行了检验,其中的天线阵列 $ 16 ^ {\ ast} 16 $ 分别模拟了在2.5 GHz下工作的系统及其平台,并与商业软件获得的数值结果进行了比较,但其精度只是小规模验证。在32个计算节点的512个CPU内核上,这种内部开发的求解器的计算效率可以达到7.149的加速能力和64.2%的强大可伸缩性效率,并且还对其速度,可伸缩性和效率进行了检查。特别是,在大功率工作状态下,大型天线阵列不仅辐射特性而且表面温度分布都首次得到解决,这直接支持了其可靠性设计。

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