研究用GPU实现时域有限差分法进行二维声子带结构的计算

Shilong Chai, Xiao-Xing Su
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引用次数: 0

摘要

时域有限差分法(FDTD)是计算声子晶体带隙的常用方法。由于对计算精度和数值稳定性的要求,FDTD方法一般要求空间网格接近,时间步长较小,在计算规模较大的结构时,消耗大量的计算资源,导致计算更加耗时。并且基于CUDA(计算统一设备架构)的多线程并行计算解决方案,可以有效地将FDTD算法应用到图形处理器(GPU)上。同时给出了技术实现细节。结果表明,随着空间网格密度的增加,GPU相对于CPU计算效率的提升也越来越明显。对于3000 * 3000空间网格,计算速度比CPU提高10倍以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the GPU implementation of the FDTD method for thetwo-dimensional phononic band structure calculations
FDTD (Finite-difference time-domain) method is a commonly used method to compute the phononic crystal band gap. Due to the requirements of calculation precision and numerical stability, FDTD method generally requires a close space grid and smaller time step, when calculating the structure of the larger scale, which consume large amounts of computing resources, lead to the calculation more time-consuming. And based on CUDA (calculation Unified device architecture) multi-threaded parallel computing solution, can effectively applied the FDTD algorithm to the graphics processor (GPU). We present the technical implementation details, at the same time. compared with the traditional CPU efficiency, The results show that with spatial grid density increase, the GPU relative to the CPU to enhance the efficiency of calculation is also becoming distinct. for 3000 * 3000 spatial grid, computing speed compare to CPU can improve even more than 10 times.
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