Abstract
Large-sized dual-reflector antennas were analyzed to evaluate their performance through long-time simulations using some EM (electromagnetic)methods based on PO (physical optics). To reduce the time/term for their simu-lation/design, we focused on parallelization of the fast and accurate hybrid PO-SWE (spherical waveguide expansion) method that, reduces computational com-plexity while maintaining accuracy, on a single-node CPU/GPU-embedded sys-tem, where each GPU contains several thousand cores on a discrete small-sized memory. To compute the hybrid PO-SWE on such a small-sized memory, we de-veloped the CPU-GPU distributed algorithm, through which the CPUs iteratively computed new small-sized regions of the main-reflector and the SWE coefficient of the sub-reflector before the GPU-based PO-SWE computation of these pre-computed items/results. We found that our implementation using quad GPUs isup to 37 times faster than that using 24-threaded dual CPUs.
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Matsuo, S., Gocho, M., Katase, T., Ado, H., Ozaki, A. (2019). Performance Evaluation of GPU-Based PO-SWE for Analysis of Large-Sized Dual-Reflector Antennas. In: Ntalianis, K., Vachtsevanos, G., Borne, P., Croitoru, A. (eds) Applied Physics, System Science and Computers III. APSAC 2018. Lecture Notes in Electrical Engineering, vol 574 . Springer, Cham. https://doi.org/10.1007/978-3-030-21507-1_26
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DOI: https://doi.org/10.1007/978-3-030-21507-1_26
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