Parallel Spectral Element Methods for Viscous Flow Problems in General Domains

这项研究的目的是开发一种先进的计算 流体动力学（CFD）软件包， 分布式内存并行处理器。 这套密码 基于谱元法的不可压缩 Navier-Stokes方程，目标类问题将是 一般二维和三维域中的流动. 过渡雷诺数 分布式内存的选择 并行架构的动机是它们的高性能， 这些经济来源于其利用数据的内在能力 地点 这项工作将是一个延伸的主要 研究人员过去在并行谱元方法方面工作， 重点在于增加几何柔性， 现有软件的功能，通过合并 运行时的离散化和添加 可视化能力。

The proposed research is to develop an advanced computational fluid dynamics (CFD) software package for high-performance- distributed memory parallel processors. The suite of codes will be based on the spectral element method for the incompressible Navier-Stokes equations, and the target class of problems will be flow in general two- and three-dimensional domains at transitional Reynolds numbers. The choice of distributed memory parallel architectures is motivated by their high performance and economy which derive from their intrinsic ability to exploit data locality. The work will be an extension of the principal investigator's past work in parallel spectral element methods, with emphasis on increasing the geometric flexibility and functionality of existing software, through incorporation of nonconforming discretizations and addition of run-time visualization capabilities.