high performance computing on graphics processing units: hgpu.org

hgpu.org » Lattice Boltzmann model

GPU phase-field lattice Boltzmann simulations of growth and motion of a binary alloy dendrite

T. Takaki, R. Rojas, M Ohno, T. Shimokawabe, T. Aoki

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Tags: Alloys, Condensed matter, CUDA, Lattice Boltzmann model, Materials Science, nVidia, Physics, Tesla K20

July 3, 2015 by hgpu

A Fast and Rigorously Parallel Surface Voxelization Technique for GPU-Accelerated CFD Simulations

C. F. Janssen, N. Koliha, T. Rung

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GTX Titan, Tessellation, Voxelization

May 16, 2015 by hgpu

Numerical Simulation of Melting with Natural Convection Based on Lattice Boltzmann Method and Performed with CUDA Enabled GPU

Wei Gong, Kevyn Johannes, Frederic Kuznik

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, Numerical simulation, nVidia, Tesla C2050

May 10, 2015 by hgpu

Enhancing Fluid Modeling with Turbulence and Acceleration

Chen Fan

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla C1060, Thesis

April 8, 2015 by hgpu

High-Performance Computation of a Jet in Cross Flow by Lattice Boltzmann Based Parallel Direct Numerical Simulation

Jiang Lei, Xian Wang, Gongnan Xie

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Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, Numerical simulation, nVidia, Tesla K20

March 6, 2015 by hgpu

Adaptive Kinetic-Fluid Solvers for Heterogeneous Computing Architectures

Sergey Zabelok, Robert Arslanbekov, Vladimir Kolobov

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Tags: Computational Physics, CUDA, Fluid dynamics, Heterogeneous systems, Lattice Boltzmann model, MPI, nVidia, Tesla M2090

March 3, 2015 by hgpu

Adjoint Lattice Boltzmann for Topology Optimization on multi-GPU architecture

Lukasz Laniewski-Wollk, Jacek Rokicki

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla M2090

January 26, 2015 by hgpu

Parallel Implementation of the Finite Element Method on Graphics Processors for the Solution of Incompressible Flows

Mahmut Murat Gocmen

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Source codes

Tags: Algorithms, CUBLAS, CUDA, FEM, Finite element method, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 280, Package, Tesla C2075, Thesis

January 16, 2015 by hgpu

Performance comparison of Lattice Boltzmann fluid flow simulation using OpenCL and CUDA frameworks

Jelena Tekic, Predrag Tekic, Milos Rackovic

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Tags: Benchmarking, CUDA, Fluid dynamics, Heterogeneous systems, Java, Lattice Boltzmann model, nVidia, nVidia GeForce GT 220, OpenCL

January 2, 2015 by hgpu

Multi-GPU Based Lattice Boltzmann Method for Hemodynamic Simulation in Patient-Specific Cerebral Aneurysm

Changsheng Huang, Baochang Shi, Zhaoli Guo, Zhenhua Chai

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, MPI, nVidia, Package, Tesla C1060, Tesla K20

October 16, 2014 by hgpu

High-performance Implementations and Large-scale Validation of the Link-wise Artificial Compressibility Method

Christian Obrecht, Pietro Asinari, Frederic Kuznik, Jean-Jacques Roux

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GTX Titan, Spectral elements

September 28, 2014 by hgpu

Hybrid Particle Lattice Boltzmann Shallow Water for interactive fluid simulations

Jesus Ojeda, Antonio Susin

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Tags: CUDA, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 280

July 11, 2014 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU phase-field lattice Boltzmann simulations of growth and motion of a binary alloy dendrite

A Fast and Rigorously Parallel Surface Voxelization Technique for GPU-Accelerated CFD Simulations

Numerical Simulation of Melting with Natural Convection Based on Lattice Boltzmann Method and Performed with CUDA Enabled GPU

Enhancing Fluid Modeling with Turbulence and Acceleration

High-Performance Computation of a Jet in Cross Flow by Lattice Boltzmann Based Parallel Direct Numerical Simulation

Adaptive Kinetic-Fluid Solvers for Heterogeneous Computing Architectures

Adjoint Lattice Boltzmann for Topology Optimization on multi-GPU architecture

Parallel Implementation of the Finite Element Method on Graphics Processors for the Solution of Incompressible Flows

Performance comparison of Lattice Boltzmann fluid flow simulation using OpenCL and CUDA frameworks

Multi-GPU Based Lattice Boltzmann Method for Hemodynamic Simulation in Patient-Specific Cerebral Aneurysm

High-performance Implementations and Large-scale Validation of the Link-wise Artificial Compressibility Method

Hybrid Particle Lattice Boltzmann Shallow Water for interactive fluid simulations

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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