Does this skill support high-performance computing (HPC)?

Yes, FluidSim is designed for HPC, featuring MPI parallelization and support for accelerated compilation via Pythran and Transonic.

What physical equations can FluidSim solve?

FluidSim provides dedicated solvers for 2D and 3D Navier-Stokes equations, shallow water equations, and stratified flows using pseudospectral methods.

Is it possible to define custom initial conditions?

Yes, you can define initial fields directly in your script using the 'in_script' parameter setting, allowing for complex and custom physical scenarios.

Can I run FluidSim on a cluster?

Absolutely. FluidSim supports MPI for distributed computing, making it suitable for running high-resolution simulations on clusters or supercomputers.

How are simulation results saved and analyzed?

Simulations are saved in HDF5 format. FluidSim includes built-in methods for plotting physical fields like vorticity, spatial means, and energy spectra directly in Python.

FluidSim CFD Framework

Name: FluidSim CFD Framework
Author: Sologa

bySologa

Data Science & ML

Simulates high-performance computational fluid dynamics using pseudospectral methods and optimized Python solvers.

About

FluidSim is a comprehensive object-oriented Python framework designed for high-performance computational fluid dynamics (CFD) simulations. It empowers researchers and engineers to solve complex equations—including 2D/3D Navier-Stokes, shallow water, and stratified flows—using efficient pseudospectral methods with FFT support. By leveraging MPI parallelization and performance-enhancing compilers like Pythran, FluidSim delivers the speed of Fortran and C++ while providing an intuitive Pythonic workflow for parameter configuration, automated data analysis, and visualization.

Key Features

0 GitHub stars
Pseudospectral methods using Fast Fourier Transforms (FFT) for high-accuracy simulations.
Integrated hierarchical parameter management and automated HDF5 output handling.
Advanced analysis tools for physical fields, energy spectra, and spatial-mean plotting.
High-performance solvers for 2D/3D Navier-Stokes, shallow water, and stratified flows.
HPC support with MPI parallelization and Transonic/Pythran compilation for speed.

Use Cases

Modeling turbulence cascades and vortex dynamics in 2D and 3D environments.
Conducting automated parametric studies for fluid research and academic validation.
Simulating geophysical fluid dynamics like oceanic stratified flows and atmospheric systems.

About

Key Features

0 GitHub stars
Pseudospectral methods using Fast Fourier Transforms (FFT) for high-accuracy simulations.
Integrated hierarchical parameter management and automated HDF5 output handling.
Advanced analysis tools for physical fields, energy spectra, and spatial-mean plotting.
High-performance solvers for 2D/3D Navier-Stokes, shallow water, and stratified flows.
HPC support with MPI parallelization and Transonic/Pythran compilation for speed.

Use Cases

Modeling turbulence cascades and vortex dynamics in 2D and 3D environments.
Conducting automated parametric studies for fluid research and academic validation.
Simulating geophysical fluid dynamics like oceanic stratified flows and atmospheric systems.