In order to run Computational Fluid Dynamics (CFD) codes on large scale infrastructures, parallel computing has to be used because of the computational intensive nature of the problems. In this paper we investigate the ADAPT platform where we couple flow Partial Differential Equations and a Poisson equation. This leads to a linear system which we solve using direct methods. The implementation deals with the MUMPS parallel multi-frontal direct solver and mesh partitioning methods using METIS to improve the performance of the framework. We also investigate, in this paper, how the mesh partitioning methods are able to optimize the mesh cell distribution for the ADAPT solver. The experience gained in this paper facilitates the move to the 3D version of ADAPT and the move to a Service Oriented view of ADAPT as future work.
翻译:为了运行大型基础设施的计算流体动力(CFD)代码,必须使用平行计算,因为问题具有计算密集性。在本文中,我们调查了我们同时流动部分异差和Poisson方程式的ADAPT平台。这导致一个我们使用直接方法解决的线性系统。执行涉及MUPS平行多面直接解决和网状分割方法,使用MEDIS来改进框架的性能。我们在本文件中还调查了网目分割方法如何能够优化ADAPT求解器的网格分布。本文所取得的经验有助于将ADPT转换为3D版本,并将ADPT作为未来工作的服务方向。