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Efficiency of linked cell algorithms

Welling, U; Germano, G; (2011) Efficiency of linked cell algorithms. Computer Physics Communications , 182 (3) pp. 611-615. 10.1016/j.cpc.2010.11.002. Green open access

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Abstract

The linked cell algorithm is an essential part of molecular simulation software, both molecular dynamics and Monte Carlo. Though it scales linearly with the number of particles, there has been a constant interest in increasing its performance, because a large part of CPU time is spent to identify the interacting particles. Several recent publications proposed improvements to the algorithm and investigated their efficiency by applying them to particular setups. Here we develop a general method to evaluate the efficiency of these algorithms which is mostly independent of the parameters of the simulation, and test it for a number of linked cell algorithms. We also propose a combination of linked cell reordering and interaction sorting that performs well for a broad range of simulation setups.

Type: Article
Title: Efficiency of linked cell algorithms
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.cpc.2010.11.002
Publisher version: http://dx.doi.org/10.1016/j.cpc.2010.11.002
Language: English
Additional information: © 2011. This manuscript version is published under a Creative Commons Attribution Non-commercial Non-derivative 4.0 International licence (CC BY-NC-ND 4.0). This licence allows you to share, copy, distribute and transmit the work for personal and non-commercial use providing author and publisher attribution is clearly stated. Further details about CC BY licences are available at http://creativecommons.org/licenses/by/4.0.
Keywords: Molecular simulation, Molecular dynamics, Monte Carlo, Neighbour list, Linked cell list, Linked cell reordering, Interaction sorting
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1406959
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