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High Performance Lattice Boltzmann Solvers on Massively Parallel Architectures with Applications to Building Aeraulics

Christian Obrecht

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Tags: Boltzmann equation, CUDA, Fluid dynamics, Lattice Boltzmann model, Navier-Stokes equations, NSEs, Numerical Analysis, nVidia, nVidia GeForce GTX 295, Thesis

January 24, 2013 by hgpu

A GPU Accelerated Navier-Stokes Solver with Multi-level Granularity for Solving Sparse Implicit Systems

Sebastian Thomas, James D. Baeder

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 640

January 22, 2013 by hgpu

An architecture for real time fluid simulation using multiple GPUs

Jose Silva Junior, Mark Joselli, Marcelo Zamith, Eduardo Soluri, Esteban Clua

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Tags: CUDA, Fluid dynamics, Fluid simulation, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 580

November 14, 2012 by hgpu

Finite Pointset Method for 2D Dam-Break Problem with GPU-Acceleration

M. Panchatcharam, S. Sundar

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, Tesla M2050

October 26, 2012 by hgpu

Some examples of instant computations of fluid dynamics on GPU

Florian De Vuyst, Christophe Labourdette

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, Navier-Stokes equations, NSEs, nVidia, Tesla C2070, Visualization

September 21, 2012 by hgpu

Efficient Implementation of the CPR Formulation for the Navier-Stokes Equations on GPUs

Malte Hoffmann, Claus-Dieter Munz, Z. J. Wang

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Tags: Algorithms, CUDA, Fluid dynamics, Graph theory, Navier-Stokes equations, NSEs, nVidia, Tesla C2050

July 26, 2012 by hgpu

Fluid Simulation on Surfaces in the GPU

Leonardo Carvalho, Maria Andrade, Luiz Velho

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 470

July 18, 2012 by hgpu

Complete PISO and SIMPLE solvers on Graphics Processing Units

Tadeusz Tomczak, Katarzyna Zadarnowska, Zbigniew Koza, Maciej Matyka, Aukasz Miroslaw

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Tags: Algorithms, Computer science, CUDA, Navier-Stokes equations, NSEs, nVidia, Tesla C2070

July 9, 2012 by hgpu

A comparison of CPU and GPU performance for Fourier pseudospectral simulations of the Navier-Stokes, Cubic Nonlinear Schrodinger and Sine Gordon Equations

B. Cloutier, B.K. Muite, P. Rigge

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Tags: Algorithms, CUDA, FFT, Fortran, Navier-Stokes equations, nVidia, OpenACC, OpenMP, Physics, Spectral methods, Tesla M2070

June 13, 2012 by hgpu

Real-time particle simulation of fluids

Zsolt Horvath

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GT 540 M, Particle simulation

April 27, 2012 by hgpu

Solving incompressible two-phase flows on multi-GPU clusters

Peter Zaspel, Michael Griebel

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Tags: CUDA, Finite difference, Fluid dynamics, GPU cluster, Navier-Stokes equations, nVidia, Tesla C2050, Tesla S1070

April 16, 2012 by hgpu

Computational Fluid Dynamics using OpenCL – a Practical Introduction

T. Bednarz, Luke Domanski, J. A. Taylor

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Tags: Algorithms, Finite difference, Fluid dynamics, Navier-Stokes equations, nVidia, nVidia GeForce GT 330 M, OpenCL, Review

January 25, 2012 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

High Performance Lattice Boltzmann Solvers on Massively Parallel Architectures with Applications to Building Aeraulics

A GPU Accelerated Navier-Stokes Solver with Multi-level Granularity for Solving Sparse Implicit Systems

An architecture for real time fluid simulation using multiple GPUs

Finite Pointset Method for 2D Dam-Break Problem with GPU-Acceleration

Some examples of instant computations of fluid dynamics on GPU

Efficient Implementation of the CPR Formulation for the Navier-Stokes Equations on GPUs

Fluid Simulation on Surfaces in the GPU

Complete PISO and SIMPLE solvers on Graphics Processing Units

A comparison of CPU and GPU performance for Fourier pseudospectral simulations of the Navier-Stokes, Cubic Nonlinear Schrodinger and Sine Gordon Equations

Real-time particle simulation of fluids

Solving incompressible two-phase flows on multi-GPU clusters

Computational Fluid Dynamics using OpenCL – a Practical Introduction

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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