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An efficient asynchronous approach for Gauss-Seidel iterative solver for FDM/FEM equations on multi-core processors

机译:一种用于多核处理器上FDM / FEM方程的Gauss-Seidel迭代求解器的高效异步方法

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In this paper, we proposed a new parallel iterative asynchronous method for Gauss-Seidel and Successive Over-Relaxation (SOR) for finite difference method (FDM) and finite element method (FEM). The approach attempts to minimize the thread synchronization which incurs a lot of thread idle time due to the dependency of computation. Our proposed method maximizes the thread utilization on multi-core processors with some space requirement for storing current states. We implement our proposed method based on the Poisson's equation with FDM. It is found that our proposed algorithm runs 5.88 times faster than the original Gauss-Seidel and achieve speedup up to 1.25 compared with the parallel Sliding Window version.
机译:在本文中,我们提出了一种新的并行的高斯-赛德尔并行迭代异步方法,以及针对差分方法(FDM)和有限元方法(FEM)的连续过度松弛(SOR)。该方法试图使线程同步最小化,由于计算的依赖性,该线程同步导致大量线程空闲时间。我们提出的方法最大程度地提高了多核处理器上的线程利用率,并需要一些空间来存储当前状态。我们使用FDM实现基于泊松方程的建议方法。结果发现,与并行滑动窗口版本相比,我们提出的算法运行速度比原始高斯-赛德尔(Gauss-Seidel)快5.88倍,并且可将速度提高到1.25。

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