A CUDA implementation of Lattice Boltzmann for fluid dynamics simulation

The Lattice Boltzmann is a simple and relatively young method of Computational fluid dynamics. In contrast to traditional computational fluid dynamics based on the conservation of macroscopic quantities (mass, momentum, and energy), LBM models the fluid by the kinetics of particles that propagate and collide on a discrete lattice mesh. Due to this contrast, LBM has several interesting advantages for the studying of digital computing, such as ease of dealing with complex boundaries and parallelization of the algorithm.[2]. The following figure shows how fluid "particles" can be presented as a discrete model, making it effortless to write straight-forward modelling code.
Information
Category: C/C++ / Artificial Intelligence
Watchers: 1
Star: 12
Fork: 1
Last update: Apr 27, 2021

Related Repos



etri About the Project The repository contains some examples of pre-trained SNN (Spiking Neural Network) models. The models were trained using the MM-BP tr
 

chenjianqu The MOT implement by Solov2+DeepSORT with C++ (Libtorch, TensorRT).
 

mmp Source code for pbrt, the renderer described in the third edition of "Physically Based Rendering: From Theory To Implementation", by Matt Pharr, Wenzel Jakob, and Greg Humphreys.
 

jose-villegas A real time global illumination solution that achieves glossy surfaces, diffuse reflection, specular reflection, ambient occlusion, indirect shadows, soft shadows, emissive materials and 2-bounce GI.
 

uzh-rpg Learning High-Speed Flight in the Wild This repo contains the code associated with the paper Learning Agile Flight in the Wild. For more information,
 

Andrew-Helmer C++ implementation of "Stochastic Generation of (t,s) Sample Sequences", by Helmer, Christensen, and Kensler (2021)
 

RUB-SysSec USENIX 2021 - Nyx: Greybox Hypervisor Fuzzing using Fast Snapshots and Affine Types
 

Kevincoooool This is a comprehensive project that combines the powerful computing capabilities of ESP32, with functions such as speech recognition, image recognition, GUI learning, and FFT music spectrum. It is suitable for learning image recognition algorithms and making LVGL-based UI interfaces.
 

Livox-SDK Livox-Free-Space is a fast and effective free-space detection package using Livox LiDAR data. It based on traditional algorithm to segment 3D LiDAR data and generate free-space.
 

shouxieai C++ library based on tensorrt integration
 

Livox-SDK This respository implements a robust LiDAR-inertial odometry system for Livox LiDAR. The system uses only a single Livox LiDAR with a built-in IMU. It has a robust initialization module, which is independent to the sensor motion
 

FeiGeChuanShu Real time yolox Android demo by ncnn
 

eanswer This repository contains the implementation for the paper An End-to-End Differentiable Framework for Contact-Aware Robot Design (RSS 2021).
 

Fraunhofer-IMS AIfES (Artificial Intelligence for Embedded Systems) is a platform-independent and standalone AI software framework optimized for embedded systems. The Feedforward Neural Networks (FNN) implemented in AIfES can be freely parameterized, trained, modified or reloaded at runtime.
 

openppl-public PPLNN, which is short for "PPLNN is a Primitive Library for Neural Network", is a high-performance deep-learning inference engine for efficient AI inferencing.