第五部門：応用数理問題―計算機科学から社会科学まで

[24001-06-06] Development of viscoelastic crustal deformation analysis with data-driven method on GPU (Proceedings of Symposium on Applied Mechanics)

*Sota Murakami¹, Kohei Fujita¹, Tsuyoshi Ichimura¹, Takane Hori², Muneo Hori², Maddegedara Lalith¹, Naonori Ueda³ (1. The University of Tokyo, 2. Japan Agency for Marine-Earth Science and Technology, 3. RIKEN)

Keywords:data-driven predictor, finite-element method, GPU

In this study, we developed a 3D viscoelastic analysis solver with data-driven method on GPUs for fast computation of highly detailed 3D crustal structure models. Here, the initial solution is obtained with high accuracy using a data-driven predictor based on previous time-step results, which reduces the number of multi-grid solver iterations and thus reduces the computation cost. The whole analysis was developed with OpenACC and the algorithm was modified suitable for GPUs. The developed GPU-based solver attained 8.6-fold speedup from the state-of-art multi-grid solver.