Parallel Adaptively Restrained Molecular Dynamics

Krishna Singh 1 Dmitriy Marin 1 Stephane Redon 1
1 NANO-D - Algorithms for Modeling and Simulation of Nanosystems
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : Force computations are one of the most time consuming part in performing Molecular Dynamics (MD) simulations. Adaptively Restrained Molecular Dynamics (ARMD) makes it possible to perform fewer force calculations by adap-tively restraining particles positions. This paper introduces parallel algorithms for single-pass incremental force computations to take advantage of adaptive restraints using the Message Passage Interface (MPI) standard. The proposed algorithms are implemented and validated in LAMMPS, however, these algorithms can be applied to other MD simulators. We compared our algorithms with LAMMPS for performance and scalability measurements.
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Communication dans un congrès
2017 International Conference on High Performance Computing & Simulation (HPCS), Jul 2017, Genova, Italy. IEEE, pp.308 - 314, 2017, 〈http://hpcs2017.cisedu.info/〉. 〈10.1109/HPCS.2017.55〉
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Soumis le : vendredi 22 septembre 2017 - 10:51:30
Dernière modification le : mardi 10 octobre 2017 - 13:39:11

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Krishna Singh, Dmitriy Marin, Stephane Redon. Parallel Adaptively Restrained Molecular Dynamics. 2017 International Conference on High Performance Computing & Simulation (HPCS), Jul 2017, Genova, Italy. IEEE, pp.308 - 314, 2017, 〈http://hpcs2017.cisedu.info/〉. 〈10.1109/HPCS.2017.55〉. 〈hal-01591466〉

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