fluidsim

Run high-performance CFD simulations in Python by configuring FluidSim's hierarchical parameters object and selecting a pseudospectral solver. It handles execution using FFT backends and Pythran/Transonic compilation for optimized performance.

Yes, you can simulate stratified flows and shallow water equations using pseudospectral methods. The framework provides specialized object-oriented solvers for these specific geophysical and 2D/3D Navier-Stokes flow scenarios.

Python CFD turbulence analysis fully supports MPI-based parallel execution. This allows scalable simulations across distributed computing environments for complex turbulence and geophysical flow studies.

The best way to configure parameters for a Navier-Stokes solver in Python is using a hierarchical parameters object. This built-in structure enables precise adjustment of resolution, time stepping, and output settings before execution.

Handle post-processing and analysis for turbulence simulations using built-in output and analysis utilities. The framework provides end-to-end workflow support from parameter setup through execution to rich post-processing.

Yes, you need Python and specific FFT backends to run pseudospectral solvers. MPI is optional but required if you want to utilize high-performance parallel execution for large-scale turbulence analyses.