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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.

2d_turbulence

This repository contains code for data-driven LES of two-dimensional turbulence.

2dchebclass

ac299_website

Website describing research conducted in Spring 2019 for Harvard IACS AC299R

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

aeropython

Classical Aerodynamics of potential flow using Python and Jupyter Notebooks

afid

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

anode

artracfd

ArtraCFD: A Computational Fluid Dynamics Solver

autograd

Efficiently computes derivatives of numpy code.

awesome-matlab

A curated list of awesome MATLAB toolboxes, applications, software and resources.

awesome-neural-ode

A collection of resources regarding the interplay between ODEs, dynamical systems and neural networks

awesome-resume-for-chinese

适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

batchflow

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

bezier-gan

Bézier Generative Adversarial Networks

c-rnn-gan

Implementation of C-RNN-GAN.

cans

A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows

cfd-navier-stokes

A collection of finite difference solutions in MATLAB building up to the Navier Stokes Equations.

cfd_julia

This repository contains fundamental codes related to CFD that can be included in any graduate level CFD coursework.

cfd_julia_mae5093

cfdlab

CSE CFD Lab worksheets

chinese-cv-template

cnn-for-airfoil

CNN for airfoil lift-to-drag-ratio prediction

cnn-surrogate

Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification

code

Code accompanying The Lattice Boltzmann Method: Principles and Practice

conformaleulerdeepwater

A pseudo-spectral solver for the full Euler equations on the deep water using conformal mapping technique.

couette-poiseuille_flowcode

Compute Flow Parameters for a Couette-Poiseuille Flow.

cudacfd_out

CUDA C/C++ scripts for Computational Fluid Dynamics (CFD) for presentation purposes (that goes out)

cuibm

cuIBM: a GPU-based immersed boundary method code.

curiosityfluidsairfoilmesher