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Efficient evaluation of three-center Coulomb integrals

机译:三中心库仑积分的有效评估

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摘要

In this study we pursue the most efficient paths for the evaluation of three-center electron repulsion integrals (ERIs) over solid harmonic Gaussian functions of various angular momenta. First, the adaptation of the well-established techniques developed for four-center ERIs, such as the Obara–Saika, McMurchie–Davidson, Gill–Head-Gordon–Pople, and Rys quadrature schemes, and the combinations thereof for three-center ERIs is discussed. Several algorithmic aspects, such as the order of the various operations and primitive loops as well as prescreening strategies, are analyzed. Second, the number of floating point operations (FLOPs) is estimated for the various algorithms derived, and based on these results the most promising ones are selected. We report the efficient implementation of the latter algorithms invoking automated programming techniques and also evaluate their practical performance. We conclude that the simplified Obara–Saika scheme of Ahlrichs is the most cost-effective one in the majority of cases, but the modified Gill–Head-Gordon–Pople and Rys algorithms proposed herein are preferred for particular shell triplets. Our numerical experiments also show that even though the solid harmonic transformation and the horizontal recurrence require significantly fewer FLOPs if performed at the contracted level, this approach does not improve the efficiency in practical cases. Instead, it is more advantageous to carry out these operations at the primitive level, which allows for more efficient integral prescreening and memory layout.
机译:在这项研究中,我们寻求各种角动量的固体谐波高斯函数上评估三中心电子排斥积分(ERI)的最有效途径。首先,对为四中心ERI开发的成熟技术进行改编,例如Obara-Saika,McMurchie-Davidson,Gill-Head-Gordon-Pople和Rys正交方案,以及三中心ERI的组合讨论。分析了几种算法方面,例如各种操作的顺序和原始循环以及预筛选策略。其次,为导出的各种算法估计浮点运算(FLOP)的数量,并根据这些结果选择最有前途的算法。我们报告了调用自动编程技术的后一种算法的有效实现,并评估了它们的实际性能。我们得出的结论是,在大多数情况下,Ahlrichs的简化Obara-Saika方案是最具成本效益的方案,但本文建议的改进的Gill-Head-Gordon-Pople和Rys算法对于特定的三元组是优选的。我们的数值实验还表明,即使在简缩水平上执行固体谐波变换和水平递归,所需的FLOP也会大大减少,但这种方法在实际情况下并不能提高效率。取而代之的是,在原始级别执行这些操作更为有利,因为这样可以实现更有效的整体预筛选和内存布局。

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