Efficiency of linked cell algorithms

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 th...

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Published inComputer physics communications Vol. 182; no. 3; pp. 611 - 615
Main Authors Welling, Ulrich, Germano, Guido
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.03.2011
Subjects
Online AccessGet full text
ISSN0010-4655
1879-2944
DOI10.1016/j.cpc.2010.11.002

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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.
AbstractList 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.
Author Welling, Ulrich
Germano, Guido
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  surname: Germano
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  email: guido.germano@staff.uni-marburg.de
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Issue 3
Keywords Molecular simulation
Linked cell list
Monte Carlo
Neighbour list
Molecular dynamics
Linked cell reordering
Interaction sorting
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Snippet The linked cell algorithm is an essential part of molecular simulation software, both molecular dynamics and Monte Carlo. Though it scales linearly with the...
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SubjectTerms Algorithms
Central processing units
Computer programs
Computer simulation
Interaction sorting
Linked cell list
Linked cell reordering
Mathematical models
Molecular dynamics
Molecular simulation
Monte Carlo
Monte Carlo methods
Neighbour list
Software
Title Efficiency of linked cell algorithms
URI https://dx.doi.org/10.1016/j.cpc.2010.11.002
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