複数GPU並列マザーリーフAMR法による熱溶質対流を伴うデンドライト成長計算の高速化

抄録

Dendrite morphology formed during solidification of alloys is largely affected by thermosolutal convection. Although the phase-field lattice Boltzmann (PF-LB) model has made it possible to reproduce dendrite growth with themosolutal convection, the large computational cost is a major problem. In this study, to accelerate the PF-LB simulation with thermosolutal convection, the parallel-GPU mother-leaf AMR method is implemented. We confirmed that the developed scheme can significantly speed up PF-LB simulations.