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Fast Poisson Solvers for Graphics Processing Units

机译:用于图形处理单元的快速泊松求解器

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摘要

Two block cyclic reduction linear system solvers are considered and implemented using the OpenCL framework. The topics of interest include a simplified scalar cyclic reduction tridiagonal system solver and the impact of increasing the radix-number of the algorithm. Both implementations are tested for the Poisson problem in two and three dimensions, using a Nvidia GTX 580 series GPU and double precision floating-point arithmetic. The numerical results indicate up to 6-fold speed increase in the case of the two-dimensional problems and up to 3-fold speed increase in the case of the three-dimensional problems when compared to equivalent CPU implementations run on a Intel Core i7 quad-core CPU.
机译:使用OpenCL框架考虑并实现两个块循环减少线性系统求解器。兴趣的主题包括简化的标量循环减少三角形系统求解器以及增加算法的基数的影响。两种实施方式都经过两种和三个维度测试泊松问题,使用NVIDIA GTX 580系列GPU和双精度浮点算术。在与Intel Core i7 Quad上运行的等效CPU实现相比,在二维问题的情况下,数值结果显示在二维问题的情况下高达6倍的速度增加,并且在三维问题的情况下增加了三维问题的速度增加-core cpu。

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