Open AccessGPU-native gas dynamic solver on octree-based AMR grids
Author(s) -
Igor Men’shov,
Pavel Pavlukhin
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1640/1/012017
Subject(s) - octree , computer science , parallel computing , grid , cuda , solver , computational science , overhead (engineering) , adaptive mesh refinement , implementation , algorithm , operating system , geometry , mathematics , programming language
GPU implementation of the Godunov-type gas dynamic solver on three-dimensional octree-based grids is proposed. In this implementation, all dynamic adaptive mesh refinement (AMR) procedures are performed entirely on GPU as opposed to most of other implementations where grid metadata is transferred to CPU for further updating. Conducted bench tests show that eliminating regular CPU–GPU grid data transferring in the proposed parallel AMR algorithms makes it possible to reduce the grid modification overhead to lower than 2% on Nvidia Tesla V100. The results concerned with both CUDA and OpenMP implementation performance are also presented.