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2d-navier-stokes-solver

As the field of Computational Fluid Dynamics (CFD) progresses, the fluid flows are more and more analysed by using simulations with the help of high speed computers. In order to solve and analyse these fluid flows we require intensive simulation involving mathematical equations which governs the fluid flow, these are Navier Stokes (NS) equation. Solving these equations has become a necessity as almost every problem which is related to fluid flow analysis call for solving of Navier Stokes equation. These NS equations are partial differential equations so different numerical methods are used to solve these equations. Solving these partial differential equations so different numerical methods requires large amount of computing power and huge amount of memory is in play. Only practical feasible way to solve these equation is write a parallel program to solve them, which can then be run on powerful hardware capable of parallel processing to get the desired results High speed supercomputer will provide us very good performance in terms of reduction in execution time. In paper focus will be on finite volume as a numerical method. We will also see what GPGPU (General-Purpose computing on Graphics Processing Units) is and how we are taking its advantages to solve CFD problems.

5.06.multigrid2d

V-cycle Multigrid method for 2D Poisson Equation

afid

A highly parallel application for Rayleigh-Benard and Taylor-Couette flows

approximateriemannsolvers

My personal collection of Riemann solvers using MUSCL and WENO schemes written as short Matlab scripts

athena-cversion

auto-draft

基于GPT4的文献总结工具.

awesome-courses

:books: List of awesome university courses for learning Computer Science!

begin-latex-in-minutes

📜 Brief Intro to LaTeX for beginners that helps you use LaTeX with ease. Comments and Contributions are welcomed :thumbsup:

cfd

Basic Computational Fluid Dynamics (CFD) schemes implemented in FORTRAN using Finite-Volume and Finite-Difference Methods. Sample simulations and figures are provided.

cfdpython

A sequence of IPython notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cnblogs-theme-simplememory

🍭 Cnblogs theme / Basic theme : SimpleMemory

code-fft-spectrum-kinetic-energy

OpenMP+FFT for kinetic energy spectrum

computational_fluid_dynamics

computationalphysics300

computational physics class taught at UNLV (Phys300)

coolfluid

The object-oriented HPC platform for CFD, plasma and multi-physics simulations whose development started in 2002 at the Von Karman Institute for Fluid Dynamics is finally open!

cpp

Lecture notes, projects and other materials for Course 'CS205 C/C++ Program Design' at Southern University of Science and Technology.

fdm-book

Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen

feynman-lectures-on-physics

About the E-book 《The Feynman Lectures on Physics -- The New Millennium Edition》

fftw3

This is the official repository for the FFTW Fourier transform library, version 3.x

fortran-examples

homeworks and useful examples

fortran-examples-1

A teach by example Fotran tutorial, emphasizing numerical methods for scientists.

fortran-openpmd-file-writers

Fortran 2003 Parallel HDF5 File Writers and Readers in OpenPMD Standard

gramm

Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handyscripts

Useful PyTecplot and Tecplot Macro Scripts.

hdf5_utils

my own Fortran high level interface for HDF5

helloword

the first test

hita

Matlab code for the spectral analysis of homogenous isotropic turbulence

huxpro.github.io

My Blog / Jekyll Themes / PWA

hydro_examples

Simple one-dimensional examples of various hydrodynamics techniques