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Implementation of the FDTD method block algorithm in the MATLAB language using a graphics processing unit. 2Ddecomposition case

机译:使用图形处理单元在MATLAB语言中实现FDTD方法块算法。 2ddecomposition案例

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The problem of limited video memory when organizing parallel computing using the FDTD method on a non-professional graphics processor was considered in this article. As a solution, a block algorithm of the FDTD method with 2-D decomposition and its implementation in the MATLAB language are proposed. As a result, the problem of limited graphics memory was solved, the maximum possible discretization of the grid in calculations on the GPU was expanded from 10 million to 85 million nodes with an average acceleration of 7,5 times for the two-dimensional case of the FDTD method.
机译:本文考虑在非专业图形处理器上组织并行计算时有限视频存储器的问题。 作为解决方案,提出了一种具有2-D分解的FDTD方法的块算法及其在Matlab语言中的实现。 结果,解决了有限的图形存储器的问题,GPU计算中的网格的最大可能离散化从1000万到8500万节的节点扩大,平均加速为二维案例为7,5倍 FDTD方法。

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