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Patchwork algorithm for the parallel computation of the Green's function in open systems

机译:开放系统中Green函数的并行计算的拼凑算法

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摘要

The efficient calculation of the Green's function is a central issue for assessing electronic transport at the nanoscale. In a near-to-equilibrium description, it can be obtained from a matrix inversion, combined with iterative algorithms developed in the 80s. However, this procedure becomes computationally challenging when dealing with very large systems. A set of algorithms (known as knitting and sewing) based on the recursive application of Dyson's equation were recently proposed, where the Green's function elements are obtained in a selective way and without the need of explicit matrix inversion, by including one matrix element at a time. Here we propose a variation of these algorithms adapted to parallel computing. The approach is based on the division of the system in a set of domains whose individual Green's functions are computed independently. The domains are then merged to yield the necessary elements of the Green's function for subsequent evaluation of the electronic transport properties. Promising scaling behavior is found, depending on the details of the domain decomposition.
机译:格林函数的有效计算是评估纳米级电子传输的核心问题。在接近平衡的描述中,可以从矩阵求逆与80年代开发的迭代算法结合使用。但是,在处理非常大的系统时,此过程在计算上变得具有挑战性。最近提出了一套基于戴森方程递归应用的算法(称为编织),其中格林函数元素是有选择地获得的,不需要显式的矩阵求逆,方法是在矩阵上包含一个矩阵元素。时间。在这里,我们提出了适用于并行计算的这些算法的变体。该方法基于系统在一组域中的划分,这些域的各个格林函数是独立计算的。然后将这些域合并,以产生格林函数的必要元素,以便随后评估电子传输特性。根据域分解的详细信息,找到了有希望的缩放行为。

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