Matrix formulations & GPU acceleration for high-speed digital link simulations

Sunil R. Sudhakaran, Arash Zargaran-Yazd
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Abstract

Investigations on how to speed up channel simulation by using various approaches. A novel multidimensional matrix based convolution approach using FFTs is proposed versus iterative for loops or single dimension serial convolutions. Experiments conducted showed that speedups achieved with GPUs can be three times as fast as CPUs including data transfer overhead.
矩阵公式和GPU加速高速数字链路模拟
研究如何利用各种方法加速信道仿真。针对循环或单维序列卷积的迭代问题,提出了一种新的基于fft的多维矩阵卷积方法。实验表明,包括数据传输开销在内,gpu的加速速度是cpu的三倍。
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