第25回応用力学シンポジウム

Presentation information

Regular Session

General Session (2.Computational Mechanics)

第2部門①

Sat. May 28, 2022 9:00 AM - 10:30 AM Metting room B (Online)

座長:吉川 仁(京都大学)

9:45 AM - 10:00 AM

[2B01-06-04] Boosting an explicit and semi-implicit SPH code with dynamic load balancing parallelization on many GPUs

*Haruki OSAKI1, Daniel Shigueo MORIKAWA1, Mitsuteru ASAI1 (1. Kyushu University)

Keywords:Smoothed particle hydrodynamics, Graphics processing unit, Message passing interface, Dynamic load balancer, Large-scale simulations

The SPH method are attracting attention as an efficient method for solving free-surface flows in complex geometries such as tsunami run-up phenomena. In the case of urban-scale disaster analysis, the particle method must be applied to a large area with evenly spaced particles, which results in a large computational model. However, the memory size of GPUs is smaller than that of CPUs, and therefore, multiple GPUs are required to perform large-scale analysis. In this study, the parallel SPH particle computation using many GPUs including communication across computational nodes is developed.