Parallel adaptively restrained molecular dynamics

Krishna Kant Singh, Dmitriy F. Marin, Stephane Redon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 adaptively 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.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on High Performance Computing and Simulation, HPCS 2017
EditorsWaleed W. Smari
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages308-314
Number of pages7
ISBN (Electronic)9781538632505
DOIs
Publication statusPublished - 12 Sept 2017
Externally publishedYes
Event15th International Conference on High Performance Computing and Simulation, HPCS 2017 - Genoa, Italy
Duration: 17 Jul 201721 Jul 2017

Publication series

NameProceedings - 2017 International Conference on High Performance Computing and Simulation, HPCS 2017

Conference

Conference15th International Conference on High Performance Computing and Simulation, HPCS 2017
Country/TerritoryItaly
CityGenoa
Period17/07/1721/07/17

Keywords

  • ARMD
  • LAMMPS
  • MPI
  • Molecular Dynamics
  • Single-pass Incremental Force Update

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