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Memory-Efficient Implementation of a Rigid-Body Molecular Dynamics Simulation

机译:刚体分子动力学模拟的内存有效实现

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Molecular dynamics simulations are usually optimized with regard to runtime rather than memory consumption. In this paper, we investigate two distinct implementational aspects of the frequently used Linked-Cell algorithm for rigid-body molecular dynamics simulations: the representation of particle data for the force calculation, and the layout of data structures in memory. We propose a low memory footprint implementation, which comes with no costs in terms of runtime. To prove the approach, it was implemented in the programme Mardyn and evaluated on a standard cluster as well as on a Blue Gene/P for representative scenarios.
机译:分子动力学模拟通常是针对运行时间而不是内存消耗进行优化的。在本文中,我们研究了常用于刚体分子动力学模拟的Linked-Cell算法的两个不同的实现方面:用于力计算的粒子数据表示形式和内存中数据结构的布局。我们提出了一种低内存占用的实现,在运行时方面没有任何成本。为了证明这种方法,该方法已在Mardyn程序中实现,并在标准群集以及Blue Gene / P上针对代表性方案进行了评估。

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