Abstract
In this paper, we propose an optimized parallel scheme based on graphics processor unit (GPU) for simulating thermal induced ultrafast magnetization dynamics model using finite difference method. By optimizing the solution algorithm, optimizing memory accessing patterns and utilizing the characteristics of the compute unified device architecture (CUDA), the scheme of simulating ultrafast magnetization dynamics model is optimized. The simulation of the ultrafast magnetization dynamics for GdFe alloy filled with 32*32*256 cells on the NIVDIA Titan V GPU shows that our optimized GPU parallel scheme has about 208 times and 9 times acceleration respectively compared to serial CPU and parallel GPU schemes. The results of the simulation are in qualitative agreement with the reported simulations and experiments, making a great significance in the study of laser thermal induced ultrafast magnetization dynamics.
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