| Citation: | SONG Bo, LI Wei, LIAN Guoxuanet al. EFIT simulation of 2D ultrasonic sound field based on CUDA[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(7): 1322-1328. doi: 10.13700/j.bh.1001-5965.2018.0675(in Chinese)
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With the rapid development of graphic processing unit (GPU), the parallel computing technology could be easily applied in the numerical simulation of ultrasonic sound field based on compute unified device architecture (CUDA). The calculating efficiency could be greatly promoted by using the parallel computing technology. The theory of elastodynamic finite integration technology (EFIT) is illustrated in this article. An EFIT 2D ultrasonic sound field model with point source and absorption boundary in steel material is established by CPU, and on the basis of CPU code, the GPU model is built with parallel computing technology. The flow design procedure and parameter optimization method of GPU model are introduced, including the texture memory use, absorption boundary optimization and data transmission optimization. Based on the comparison of time consumption and average calculating efficiency, the efficiency promotion of EFIT model of CPU and GPU version are quantitatively analyzed. The result reveal that the EFIT model with GPU has much higher calculating efficiency. According to the comparison result, the calculation speed of EFIT model is promoted significantly with the parallel computing technology. And it has broad application prospects in complicated acoustic field simulation.
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