A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows
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Updated
Jan 1, 2026 - Fortran
A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows
Spectral Element Library in Fortran
2nd order Godunov solver for 2d Euler equations written in CUDA Fortran and stdpar (standard paralelism)
Multi-GPU code for intreface-resolved simulations of multiphase turbulence (triply periodic box and channel). DNS of Navier-Stokes equations coupled with a phase-field method (ACDI) for interface description. The cuDecomp library is used for parallelization.
GPU-comcot offloads the computational component on the outermost layer of COMCOT to Nvidia GPU. Currently, the speed up achieved by parallelized code on GTX-1060 comparing to serial one on AMD-FX8150 is nearly 200X. The code is still under development to fulfill the full functionality of the original model.
D2Q9 BGK Lattice Boltzmann code written in OpenCL and Modern Fortran.
Canonical direct and large-eddy simulation
Fast Spherical Harmonic Transforms for a large number of sky maps
jacobi - a benchmark by solving 2D laplace equation with jacobi iterative method. GPU or Xeon Phi can be used.
Fortran interface for DLA-Future
Spectral Element Library in Fortran
Lattice Boltzmann Model for LES simulations of high-Reynolds number flow
OpenACC GPU parallelization for various numerical methods and miscellaneous problems using FORTRAN
2D version of MHIT36 (single GPU). Current setup targets multiphase Rayleigh-Bénard convection. Interface description is based on a phase-field method.
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