海浪模式MASNUM(marine science and numerical modeling)是我国自主研发的海浪数值模式,该模式已广泛应用于我国海洋防灾减灾、海上交通运输、军事活动保障等方面的海浪预报中.随着提升业务预报精度和气候研究需求的不断增长,高分辨率...海浪模式MASNUM(marine science and numerical modeling)是我国自主研发的海浪数值模式,该模式已广泛应用于我国海洋防灾减灾、海上交通运输、军事活动保障等方面的海浪预报中.随着提升业务预报精度和气候研究需求的不断增长,高分辨率成为海浪模式发展的必由之路.尽管高性能计算机的快速发展为高分辨率数值模式提供了强大的计算能力支持,但当前很多并行数值模式效率还不高,无法获得更高并行加速比,无法提高模式并行效率并缩短运行墙钟时间.结合现代高性能计算机体系结构特点,深入分析MASNUM模式的性能瓶颈,继而有针对性地对其开展并行优化,明显地提升了通信性能、I/O性能和二维剖分负载平衡性,进而提升了MASNUM模式整体并行效率和可扩展规模.这里以串行性能为基准,当扩展规模达到960个CPU核时,改进后版本加速比可达431.5.该研究也为其他数值模式提供了一些可供借鉴的并行优化策略.展开更多
In this paper, parallel library, portable extensible toolkit for scientific computation (PETSc), is used to solve linear systems in soil-water coupled finite element method (FEM) for geotechnical problems. The paralle...In this paper, parallel library, portable extensible toolkit for scientific computation (PETSc), is used to solve linear systems in soil-water coupled finite element method (FEM) for geotechnical problems. The parallel environment is integrated into GLEAVES, which is a geotechnical software package used for the finite element simulation. The linear system Ax = b which is a fundamental and the most time-consuming part of the FEM is solved with iterative solvers in PETSc. In order to find a robust and effective combination of iterative solvers and corresponding preconditioners for the soil-water coupled problems, performance evaluations on Krylov subspace methods and four preconditioners are carried out. The results indicate that general minimal residual (GMRES) method coupled with preconditioners can provide an effective solution. The application to a construction project is presented to illustrate the potential of the proposed solution.展开更多
文摘海浪模式MASNUM(marine science and numerical modeling)是我国自主研发的海浪数值模式,该模式已广泛应用于我国海洋防灾减灾、海上交通运输、军事活动保障等方面的海浪预报中.随着提升业务预报精度和气候研究需求的不断增长,高分辨率成为海浪模式发展的必由之路.尽管高性能计算机的快速发展为高分辨率数值模式提供了强大的计算能力支持,但当前很多并行数值模式效率还不高,无法获得更高并行加速比,无法提高模式并行效率并缩短运行墙钟时间.结合现代高性能计算机体系结构特点,深入分析MASNUM模式的性能瓶颈,继而有针对性地对其开展并行优化,明显地提升了通信性能、I/O性能和二维剖分负载平衡性,进而提升了MASNUM模式整体并行效率和可扩展规模.这里以串行性能为基准,当扩展规模达到960个CPU核时,改进后版本加速比可达431.5.该研究也为其他数值模式提供了一些可供借鉴的并行优化策略.
基金the National Natural Science Foundation of China(Nos.41172251 and 41002097)
文摘In this paper, parallel library, portable extensible toolkit for scientific computation (PETSc), is used to solve linear systems in soil-water coupled finite element method (FEM) for geotechnical problems. The parallel environment is integrated into GLEAVES, which is a geotechnical software package used for the finite element simulation. The linear system Ax = b which is a fundamental and the most time-consuming part of the FEM is solved with iterative solvers in PETSc. In order to find a robust and effective combination of iterative solvers and corresponding preconditioners for the soil-water coupled problems, performance evaluations on Krylov subspace methods and four preconditioners are carried out. The results indicate that general minimal residual (GMRES) method coupled with preconditioners can provide an effective solution. The application to a construction project is presented to illustrate the potential of the proposed solution.
