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PeleLM

An adaptive mesh hydrodynamics simulation code for low Mach number reacting flows

  • Source Code Documentation
  • Pele Suite Page
  • Getting Started

    PeleLM depends on several separate GitHub repositories, each under active development. This can significantly complicate the required effort to keep all the required software up to date and internally compatible. Recently, we moved the Pele codes to a new software management style based on git "submodules", which dramatically simplifies the initial install/build/run procedure:

                  git clone --recursive https://github.com/AMReX-Combustion/PeleProduction.git
                  cd PeleLMruns/FlameSheet2D
                  make -j 12
                  mpiexec -np 8 ./PeleLM2d.gnu.MPI.ex inputs.2d-regt
                

    The PeleLM User's Guide continues to be the best place to learn more about the code. You can also ask for help by opening up an issue on the PeleLM GitHub webpage.

Acknowledgment

The PeleLM code was originally created in 2000 with the name "LMC" and was a BoxLib-based AMR code for low Mach combustion developed by the Center for Computational Sciences and Engineering at LBNL . The main algorithms in LMC were first published in "Numerical Simulation of Laminar Reacting Flows with Complex Chemistry," M. S. Day and J. B. Bell Combust. Theory Model. 4 535-556 (2000). Enhancements to the code since then have been supported by the US Department of Energy under the Advanced Scientific Computing Research (ASCR) base math program. In 2017, LMC was renamed PeleLM, and is currently supported under the The Pele Project. The Pele Project is supported by the Exascale Computing Project (ECP), Project Number: 17-SC-20-SC, a collaborative effort of two DOE organizations -- the Office of Science and the National Nuclear Security Administration -- responsible for the planning and preparation of a capable exascale ecosystem -- including software, applications, hardware, advanced system engineering, and early testbed platforms -- to support the nation's exascale computing imperative.
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