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Multilevel Summation Method for Electrostatic Force Evaluation

delete2015-01-08
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OA
AI
D
David J. Hardy
Z
Zhe Wu
J
J. C. Phillips
J
John E. Stone
R
Robert D. Skeel
K
Klaus Schulten *
DOI:10.1021/ct5009075delete
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摘要

摘要

En 中文
The multilevel summation method (MSM) offers an efficient algorithm utilizing convolution for evaluating long-range forces arising in molecular dynamics simulations. Shifting the balance of computation and communication, MSM provides key advantages over the ubiquitous particlemesh Ewald (PME) method, offering better scaling on parallel computers and permitting more modeling flexibility, with support for periodic systems as does PME but also for semiperiodic and nonperiodic systems. The version of MSM available in the simulation program NAMD is described, and its performance and accuracy are compared with the PME method. The accuracy feasible for MSM in practical applications reproduces PME results for water property calculations of density, diffusion constant, dielectric constant, surface tension, radial distribution function, and distance-dependent Kirkwood factor, even though the numerical accuracy of PME is higher than that of MSM. Excellent agreement between MSM and PME is found also for interface potentials of airwater and membranewater interfaces, where long-range Coulombic interactions are crucial. Applications demonstrate also the suitability of MSM for systems with semiperiodic and nonperiodic boundaries. For this purpose, simulations have been performed with periodic boundaries along directions parallel to a membrane surface but not along the surface normal, yielding membrane pore formation induced by an imbalance of charge across the membrane. Using a similar semiperiodic boundary condition, ion conduction through a graphene nanopore driven by an ion gradient has been simulated. Furthermore, proteins have been simulated inside a single spherical water droplet. Finally, parallel scalability results show the ability of MSM to outperform PME when scaling a system of modest size (less than 100 K atoms) to over a thousand processors, demonstrating the suitability of MSM for large-scale parallel simulation.
Keyword:
MOLECULAR-DYNAMICS SIMULATION
FAST MULTIPOLE METHOD
PARTICLE MESH EWALD
LIPID-MEMBRANES
PORE FORMATION
ALGORITHM
CHARGE
ELECTROPORATION
MECHANISM
TRANSPORT
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期刊

Journal of Chemical Theory and Computation 封面图
Journal of Chemical Theory and Computation
IF:
5.5
论文数:
1.1W
被引数:
5.4W

机构

U
University of Illinois Urbana-Champaign
学者数:
2.4W
论文数: 2.0W
被引数: 35
University of Illinois System 封面图
University of Illinois System
学者数:
6.9W
论文数: 6.2W
被引数: 644
引用论文

引用论文

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MODYLAS: A Highly Parallelized General-Purpose Molecular Dynamics Simulation Program for Large-Scale Systems with Long-Range Forces Calculated by Fast Multipole Method (FMM) and Highly Scalable Fine-Grained New Parallel Processing Algorithms
err2013-06-21
err76
PREAI
errAndoh, Yoshimichi; Yoshii, Noriyuki; Fujimoto, Kazushi; Mizutani, Keisuke; Kojima, Hidekazu; Yamada, Atsushi; Okazaki, Susumu; Kawaguchi, Kazutomo; Nagao, Hidemi; Iwahashi, Kensuke; Mizutani, Fumiyasu; Minami, Kazuo; Ichikawa, Shin-ichi; Komatsu, Hidemi; Ishizuki, Shigeru; Takeda, Yasuhiro; Fukushima, Masao
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NAMD2:: Greater scalability for parallel molecular dynamics
err1999-05-01
err2.3K
PREAI
errKalé, L; Skeel, R; Bhandarkar, M; Brunner, R; Gursoy, A; Krawetz, N; Phillips, J; Shinozaki, A; Varadarajan, K; Schulten, K
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