气候变化领域集成服务门户(CCPortal): Helmholtz solving and performance optimization in global/regional assimilation and prediction system

CCPortal

DOI	10.26599/TST.2019.9010057
	Helmholtz solving and performance optimization in global/regional assimilation and prediction system
	Huang J.; Xue W.; Bian H.; Yan W.; Wang X.; Chen W.
发表日期	2021
卷号	26 期号:3
英文摘要	Despite efficient parallelism in the solution of physical parameterization in the Global/Regional Assimilation and Prediction System (GRAPES), the Helmholtz equation in the dynamic core, with the increase of resolution, can hardly achieve sufficient parallelism in the solving process due to a large amount of communication and irregular access. In this paper, optimizing the Helmholtz equation solution for better performance and higher efficiency has been an urgent task. An optimization scheme for the parallel solution of the Helmholtz equation is proposed in this paper. Specifically, the geometrical multigrid optimization strategy is designed by taking advantage of the data anisotropy of grid points near the pole and the isotropy of those near memory equator in the Helmholtz equation, and the Incomplete LU (ILU) decomposition preconditioner is adopted to speed up the convergence of the improved Generalized Conjugate Residual (GCR), which effectively reduces the number of iterations and the computation time. The overall solving performance of the Helmholtz equation is improved by thread-level parallelism, vectorization, and reuse of data in the cache. The experimental results show that the proposed optimization scheme can effectively eliminate the bottleneck of the Helmholtz equation as regards the solving speed. Considering the test results on a 10-node two-way server, the solution of the Helmholtz equation, compared with the original serial version, is accelerated by 100×, with one-third of iterations reduced. © 1996-2012 Tsinghua University Press.
英文关键词	Generalized Conjugate Residual (GCR); Global/Regional Assimilation and Prediction System (GRAPES); Helmholtz equation; Incomplete LU (ILU); performance optimization
语种	英语
scopus关键词	Tsinghua Science and Technology
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/158373
作者单位	Department of Computer Science and Technology; Tsinghua University; Beijing; 100084; China; Department of Computer Technology and Applications; Qinghai University; Xining; 810016; China
推荐引用方式 GB/T 7714	Huang J.,Xue W.,Bian H.,et al. Helmholtz solving and performance optimization in global/regional assimilation and prediction system[J],2021,26(3).
APA	Huang J.,Xue W.,Bian H.,Yan W.,Wang X.,&Chen W..(2021).Helmholtz solving and performance optimization in global/regional assimilation and prediction system.,26(3).
MLA	Huang J.,et al."Helmholtz solving and performance optimization in global/regional assimilation and prediction system".26.3(2021).