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

机译:记忆有效地实现刚体分子动力学模拟

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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在运行时优化,而不是存储器消耗。在本文中,我们研究了常用的刚体分子动力学模拟的常用链接细胞算法的两个不同的实施方面:力计算的粒子数据的表示,以及存储器中的数据结构布局。我们提出了一个低内存占用的实现,在运行时没有成本。为了证明这种方法,它是在程序Mardyn中实现,并在标准群集中进行评估,以及用于代表方案的蓝色基因/ P。

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