High-resolution simulations using an AMR framework on GPU supercomputers

Shimokawabe, Takashi*; Onodera, Naoyuki   

An adaptive mesh refinement (AMR) method is one of the effective methods to compute certain local regions that demand higher accuracy with higher resolution. To develop the applications adopting AMR effectively with maintaining high performance on multiple GPUs, we are developing a block-based AMR framework for stencil applications written in C++ and CUDA. The programmer simply describes a C++11 lambda that updates a grid point, which is applied to the entire grids with various resolution over a tree-based AMR data structure effectively. The framework-based application for compressible flow has demonstrated good weak scalability with 84% of the parallel efficiency on the TSUBAME3.0 GPU supercomputer at Tokyo Institute of Technology.