# Difference between revisions of "Main Page"

From neklbm

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* Lattice Boltzmann approach for collision step | * Lattice Boltzmann approach for collision step | ||

* Spectral element discontinuous Galerkin discretization for advection step | * Spectral element discontinuous Galerkin discretization for advection step | ||

− | * Advection-diffusion solver for heat transfer | + | * Advection-diffusion equation solver for heat transfer |

* Hexahedral body conforming meshes | * Hexahedral body conforming meshes | ||

* The 4th-order Runge-Kutta timestepping | * The 4th-order Runge-Kutta timestepping | ||

Line 18: | Line 18: | ||

* Flows past a cylinder and cylinders in tandum | * Flows past a cylinder and cylinders in tandum | ||

* Flows past a hemisphere | * Flows past a hemisphere | ||

− | * Turbulent channel | + | * Turbulent flows in a channel |

− | * Natural | + | * Natural convection flows in a square and an annulus |

* 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 |

## Revision as of 13:50, 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.

**Current Developers**

Misun Min [1], Taehun Lee [2], Saumil Patel, Kalu Uga

**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

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