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Advanced use of LAMMPS

UTC
Description

This lesson provides an overview of some more advanced techniques and uses of LAMMPS. Specifically, we will be discussing:

  • Measuring and improving LAMMPS performance:
  • Strong vs weak scaling for a range of systems.
  • Smarter domain decomposition.
  • Accelerators, and what they do.
  • Running LAMMPS from Python.
  • Analysing systems through reruns.
  • Advanced sampling methods with a focus on replica exchange.

 

For this lesson, we expect attendees to be familiar with LAMMPS. We will not be covering how to prepare and run a parallel LAMMPS simulation (and we will assume that all attendees know how to do this already). This lesson is aimed at anyone who:

  • Has experience using bash.
  • Has experience running LAMMPS on multiple processors.
  • Would like to learn more about some of the LAMMPS functionalities stated above.
  • Would like to learn more about tricks and methods for getting LAMMPS to perform efficiently.

 

More info/ register: https://www.archer2.ac.uk/training/courses/240117-advanced-lammps/

The agenda of this meeting is empty