Abstract
The phase-field method has been actively studied as a powerful tool for predicting microstructure evolution in various materials. In particular, the multi-phase-field method is proposed to simulate the microstructure evolutions during solidification and phase transformation in polycrystal and multiphase materials. In this study, in order to demonstrate a improvement of calculation performance of the multi-phase-field simulation by using a GPU, the program code is newly developed with CUDA. Furthermore, since the capacity of video memory on the present GPU is not large, we employ the active parameter tracking method and reduce the memory usage. With the developed code, we conduct two-dimensional multi-phase-field simulations of grain growth with a single GPU and evaluate the calculation performance. According to the results, it is found that, by using the shared memory on GPU as a software-managed cache, the performance of the multi-phase-field simulation achieves about 5-times speed-up to that with a single CPU.
