arrow
返回

Efficient same-dimensional implicit time advancement parallel scheme and optimization methods for the iteration parameters using a graphics-processing unit

delete2022-09-28
delete2
PRE
AI
B
Bohao Zhou
黄旭东 封面图
黄旭东 (Xudong Huang)
D
Dianfang Bi
K
Ke Zhang *
M
Ming Zhou
DOI:10.1063/5.0107571delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Many studies have focused on the acceleration of computational fluid dynamics (CFD) using multicore hardware such as graphics-processing units (GPUs) in the field of parallel computing. In GPU acceleration, CFD parallel granularity generally refers to the point granularity parallelization as a unit of the grid. An implicit time advancement scheme is more efficient and faster than an explicit time advancement scheme for CFD. However, for commonly used implicit schemes, such as the lower-upper symmetric Gauss-Seidel (LUSGS) scheme, the parallel dimensionality is reduced, resulting in a highly time-consuming procedure. In this paper, the data-parallel upper-lower relaxation (DPLUR) scheme based on Jacobi iteration is used and then implemented on a GPU. Numerical experiments are carried out and show that the computing speed of point granularity parallelization using the DPLUR scheme, especially implemented on a GPU, is much higher than that of dimensionality reduction using the LUSGS scheme. Moreover, the influence of different Jacobi inner iteration steps (JIIS) on the convergence time is discussed, and two JIIS optimization algorithms are proposed according to the characteristics of convergence. On the basis of the memory access form, a DPLUR red black (DPRB) scheme with more stable and faster convergence than the conventional DPLUR scheme is developed. Finally, some standard cases are adopted to verify the effectiveness of DPRB schemes with the JIIS optimization algorithm. Published under an exclusive license by AIP Publishing.
Keyword:
GRIDS

期刊

Physics of Fluids 封面图
Physics of Fluids
IF:
4.3
论文数:
2.9W
被引数:
8.0W

机构

T
tsinghua university
学者数:
11.9W
论文数: 10.0W
被引数: 137
引用论文

引用论文

err分享
err收藏
Parallel finite volume method-based fluid flow computations using OpenMP and CUDA applying different schemes
err2021-03-02
err11
PREAI
errAfzal, Asif; Saleel, C. Ahamed; Prashantha, K.; Bhattacharyya, Suvanjan; Sadhikh, Mohammed
err分享
err收藏
A parallel nonlinear multigrid solver for unsteady incompressible flow simulation on multi-GPU cluster
err2020-08-01
err9
PREAI
errShi, Xiaolei; Agrawal, Tanmay; Lin, Chao-An; Hwang, Feng-Nan; Chiu, Tzu-Hsuan
err分享
err收藏
err分享
err收藏
Large calculation of the flow over a hypersonic vehicle using a GPU
err2008-12-01
err167
PREAI
errElsen, Erich; LeGresley, Patrick; Darve, Eric
err分享
err收藏
学者 查看更多内容