Poster: Matrix Decomposition Based Conjugate Gradient Solver for Poisson Equation

Hang Liu, J. Seo, R. Mittal
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引用次数: 3

Abstract

Finding a fast solver for the Poisson equation is important for many scientific applications. In this work, we design and develop a matrix decomposition based Conjugate Gradient (CG) solver, which leverages Graphics Processing Unit (GPU) clusters to accelerate the calculation of the Poisson equation. Our experiments show that the new CG solver is highly scalable and achieves significant speedup over a CPU-based Multi-Grid (MG) solver.
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海报:基于矩阵分解的泊松方程共轭梯度求解器
寻找泊松方程的快速求解器对许多科学应用都是重要的。在这项工作中,我们设计并开发了一个基于矩阵分解的共轭梯度(CG)求解器,它利用图形处理单元(GPU)集群来加速泊松方程的计算。我们的实验表明,新的CG求解器具有高度可扩展性,并且比基于cpu的多网格(MG)求解器实现了显着的加速。
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