MPI for Python (mpi4py)MPI for Python
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Related Products
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About
LAMMPS, the Large-scale Atomic/Molecular Massively Parallel Simulator, is a classical molecular dynamics code with a focus on materials modeling. It models ensembles of particles in liquid, solid, or gaseous states and can simulate atomic, polymeric, biological, solid-state, granular, coarse-grained, mesoscopic, or macroscopic systems using many interatomic potentials, force fields, and boundary conditions. LAMMPS can model systems in two or three dimensions, from only a few particles up to billions, and is designed to run efficiently on parallel computers while remaining easy to extend and modify. It includes potentials for solid-state materials such as metals and semiconductors, soft matter such as biomolecules and polymers, and coarse-grained or mesoscopic systems. It can be used to model atoms or, more generally, as a parallel particle simulator at atomic, meso, or continuum scale.
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About
Over the last years, high performance computing has become an affordable resource to many more researchers in the scientific community than ever before. The conjunction of quality open source software and commodity hardware strongly influenced the now widespread popularity of Beowulf class clusters and cluster of workstations. Among many parallel computational models, message-passing has proven to be an effective one. This paradigm is specially suited for (but not limited to) distributed memory architectures and is used in today’s most demanding scientific and engineering application related to modeling, simulation, design, and signal processing. However, portable message-passing parallel programming used to be a nightmare in the past because of the many incompatible options developers were faced to. Fortunately, this situation definitely changed after the MPI Forum released its standard specification.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Computational materials scientists wanting a parallel simulator for molecular dynamics, particle systems, and multiscale materials researc
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Audience
Developers looking for a Component Library solution
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationLAMMPS
United States
www.lammps.org
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Company InformationMPI for Python
mpi4py.readthedocs.io/en/stable/
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Categories |
Categories |
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Integrations
C
C++
Fortran
NumPy
Python
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