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NekLBM https://svn.mcs.anl.gov/repos/NEKLBM is a high-order lattice Boltzmann fluid solver based on spectral element discontinuous Galerkin methods. It is an open-source code written in Fortran and C. The code is actively developed at Mathematics and Computer Science Division of Argonne National Laboratory. | NekLBM https://svn.mcs.anl.gov/repos/NEKLBM is a high-order lattice Boltzmann fluid solver based on spectral element discontinuous Galerkin methods. It is an open-source code written in Fortran and C. The code is actively developed at Mathematics and Computer Science Division of Argonne National Laboratory. | ||
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<big>'''Features'''</big> | <big>'''Features'''</big> | ||
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* high parallel efficiency scaling over 100,000 cores | * high parallel efficiency scaling over 100,000 cores | ||
* parallel IO scaling over 65,000 cores | * parallel IO scaling over 65,000 cores | ||
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+ | <big>'''Current Developers'''</big> | ||
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+ | Misun Min [http://www.mcs.anl.gov/~mmin], | ||
+ | Taehun Lee [https://sites.google.com/site/leeccny/home], Saumil Patel, Kalu Uga | ||
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+ | <big> '''Related Projects''' </big> | ||
+ | NekCEM [https://nekcem.mcs.anl.gov] | ||
+ | Nek5000 [https://nek5000.mcs.anl.gov] | ||
Revision as of 08:13, 28 August 2013
Welcome to NekLBM
NekLBM https://svn.mcs.anl.gov/repos/NEKLBM is a high-order lattice Boltzmann fluid solver based on spectral element discontinuous Galerkin methods. It is an open-source code written in Fortran and C. The code is actively developed at Mathematics and Computer Science Division of Argonne National Laboratory.
Features
- Lattice Boltzmann approach for collision step
- Spectral element discontinuous Galerkin discretization for advection step
- Advection-diffusion equation solver for heat transfer
- Hexahedral body conforming meshes
- The 4th-order Runge-Kutta timestepping
- The high-order exponential time integration
- Flows past a cylinder and cylinders in tandum
- Flows past a hemisphere
- Turbulent flows in a channel
- Natural convection flows in a square and an annulus
- high parallel efficiency scaling over 100,000 cores
- parallel IO scaling over 65,000 cores
Current Developers
Misun Min [1], Taehun Lee [2], Saumil Patel, Kalu Uga
Related Projects NekCEM [3] Nek5000 [4]
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