Parallelization of an Unsteady ALE Solver with Deforming Mesh Using OpenACC
College of Computer and Information Technology, Xinyang Normal University, Henan 464200, China
Scientific Programming, Volume 2017, Article ID 4610138, 2017
@article{ma2017parallelization,
title={Parallelization of an Unsteady ALE Solver with Deforming Mesh Using OpenACC},
author={Ma, Wenpeng and Lu, Zhonghua and Yuan, Wu and Hu, Xiaodong},
journal={Scientific Programming},
volume={2017},
year={2017},
publisher={Hindawi}
}
This paper presents a parallel, GPU-based, deforming mesh-enabled unsteady numerical solver for solving moving body problems by using OpenACC. Both the 2D and 3D parallel algorithms based on spring-like deforming mesh methods are proposed and then implemented through OpenACC programming model. Furthermore, these algorithms are coupled with an unstructured mesh based, implicit time scheme integrated numerical solver, which makes the full GPU version of the solver capable of handling unsteady calculations with deforming mesh. Experiments results show that the proposed parallel deforming mesh algorithm can achieve over 2.5x speedup on K20 GPU card in comparison with 20 OpenMP threads on Intel E5-2658 V2 CPU cores. And both 2D and 3D cases are conducted to validate the efficiency, correctness, and accuracy of the present solver.
July 22, 2017 by hgpu
