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首页> 外文期刊>Journal of Computational Physics >Implicit method for the solution of supersonic and hypersonic 3D flow problems with Lower-Upper Symmetric-Gauss-Seidel preconditioner on multiple graphics processing units
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Implicit method for the solution of supersonic and hypersonic 3D flow problems with Lower-Upper Symmetric-Gauss-Seidel preconditioner on multiple graphics processing units

机译:在多个图形处理单元上的下上部对称高斯-Seidel预处理器解决超音速和超音速3D流量问题的隐含方法

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摘要

The paper describes a numerical method for the solution of stationary gas dynamics 3D spatial equations on unstructured grids that is designed for multiple graphics processing unit (GPU) computational architecture. Discretization of governing equations is done using first and second order TVD schemes. The Newton's method with simple pseudo time-step homotopy is used to solve the problem. Each iteration step involves solution of the linear system originated from the linearization of gas dynamics equations. Krylov subspace iterative methods are used to solve the linear system. The main aim of the paper is to describe a preconditioning Lower-Upper Symmetric-Gauss-Seidel (LU-SGS) method and its adaptation on multiple GPU computational systems. It is shown that deliberately reordered matrices with rearranged solution process of arising lower and upper triangular linear systems allow one to obtain close algebraic properties to the original single threaded LUSGS. The method is benchmarked against published results. The analysis of computational efficiency and acceleration is presented for different flows with Mach number ranging from 1.2 up to 25. (C) 2019 Elsevier Inc. All rights reserved.
机译:本文介绍了对多个图形处理单元(GPU)计算架构设计的非结构化网格上的固定气体动力学3D空间方程的解决方程的数值方法。使用第一和二阶TVD方案进行管理方程的离散化。使用简单的伪时间阶跃同级同型牛顿的方法用于解决问题。每次迭代步骤涉及线性系统的溶液源自气体动力学方程的线性化。 Krylov子空间迭代方法用于解决线性系统。本文的主要目的是描述一种预处理的下上部对称高斯 - Seidel(LU-SGS)方法及其对多GPU计算系统的适应。结果表明,刻意重新排序的矩阵具有较低三角形线性系统和上三角形线性系统产生的重排液的矩阵,允许人们获得最初的单螺纹LUSG的紧密代数特性。该方法与已发表的结果有基准测试。对于不同流量的Mach编号的不同流量,从1.2的不同流量介绍了计算效率和加速度的分析。(c)2019 Elsevier Inc.保留所有权利。

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