Abstract
The ParSplice code implements the Parallel Trajectory Splicing algorithm described in [1]. This method is part of the Accelerated Molecular Dynamics family of techniques developed in Los Alamos National Laboratory over the last 16 years. These methods aim at generating high-quality trajectories of ensembles of atoms in materials. ParSplice uses multiple independent replicas of the system in order to parallelize the generation of such trajectories in the time domain, enabling simulations of systems of modest size over very long timescales. ParSplice includes capabilities to store configurations of the system, to generate and distribute tasks across a large number of processors, and to harvest the results of these tasks to generate long trajectories. ParSplice is a management layer that orchestrate large number of calculations, but it does not perform the actual molecular dynamics itself; this is done by external molecular dynamics engines. [1] Danny Perez, Ekin D Cubuk, Amos Waterland, Efthimios Kaxiras, Arthur F Voter, Long-time dynamics through parallel trajectory splicing, Journal of chemical theory and computation 12, 18 (2015)
- Developers:
-
Perez, Danny [1]
- LANL
- Release Date:
- 2017-01-05
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Licenses:
-
Other (Commercial or Open-Source): https://gitlab.com/dannyperez/parsplice/blob/master/LICENSE
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC52-06NA25396
- Code ID:
- 4979
- Site Accession Number:
- 7312
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Country of Origin:
- United States
Citation Formats
Perez, Danny.
ParSplice, Version 1.
Computer Software.
https://gitlab.com/dannyperez/parsplice.
USDOE.
05 Jan. 2017.
Web.
doi:10.11578/dc.20171025.1885.
Perez, Danny.
(2017, January 05).
ParSplice, Version 1.
[Computer software].
https://gitlab.com/dannyperez/parsplice.
https://doi.org/10.11578/dc.20171025.1885.
Perez, Danny.
"ParSplice, Version 1." Computer software.
January 05, 2017.
https://gitlab.com/dannyperez/parsplice.
https://doi.org/10.11578/dc.20171025.1885.
@misc{
doecode_4979,
title = {ParSplice, Version 1},
author = {Perez, Danny},
abstractNote = {The ParSplice code implements the Parallel Trajectory Splicing algorithm described in [1]. This method is part of the Accelerated Molecular Dynamics family of techniques developed in Los Alamos National Laboratory over the last 16 years. These methods aim at generating high-quality trajectories of ensembles of atoms in materials. ParSplice uses multiple independent replicas of the system in order to parallelize the generation of such trajectories in the time domain, enabling simulations of systems of modest size over very long timescales. ParSplice includes capabilities to store configurations of the system, to generate and distribute tasks across a large number of processors, and to harvest the results of these tasks to generate long trajectories. ParSplice is a management layer that orchestrate large number of calculations, but it does not perform the actual molecular dynamics itself; this is done by external molecular dynamics engines. [1] Danny Perez, Ekin D Cubuk, Amos Waterland, Efthimios Kaxiras, Arthur F Voter, Long-time dynamics through parallel trajectory splicing, Journal of chemical theory and computation 12, 18 (2015)},
doi = {10.11578/dc.20171025.1885},
url = {https://doi.org/10.11578/dc.20171025.1885},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20171025.1885}},
year = {2017},
month = {jan}
}