high performance computing on graphics processing units: hgpu.org

hgpu.org » Lattice Boltzmann model

Optimization and Implementation of LBM Benchmark on Multithreaded GPU

Xiaoguang Ren, Yuhua Tang, Guibin Wang, Tao Tang, Xudong Fang

Tags: ATI, Brook, Fluid dynamics, Lattice Boltzmann model, Optimization

March 25, 2011 by hgpu

Performance analysis of single-phase, multiphase, and multicomponent lattice-Boltzmann fluid flow simulations on GPU clusters

J. Myre, S. D. C. Walsh, D. Lilja, M. O. Saar

Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, OpenMP, Performance

March 17, 2011 by hgpu

Performance analysis and optimization strategies for a D3Q19 lattice Boltzmann kernel on nVIDIA GPUs using CUDA

J. Habich, T. Zeiser, G. Hager, G. Wellein

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

March 10, 2011 by hgpu

Multi-GPU Performance of Incompressible Flow Computation by Lattice Boltzmann Method on GPU Cluster

Xian Wang, Takayuki Aoki

Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, nVidia

March 4, 2011 by hgpu

Performance and accuracy of Lattice-Boltzmann kernels on multi- and manycore architectures

Dirk Ribbrock, Markus Geveler, Dominik Goddeke, Stefan Turek

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Source codes

Tags: Cell processor, CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, Package

March 1, 2011 by hgpu

Lattice-Boltzmann Simulation of the Shallow-Water Equations with Fluid-Structure Interaction on Multi- and Manycore Processors

Markus Geveler, Dirk Ribbrock, Dominik Goddeke, and Stefan Turek

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Source codes

Tags: Cell processor, CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, Package

March 1, 2011 by hgpu

A Simulation Suite for Lattice-Boltzmann based Real-Time CFD Applications Exploiting Multi-Level Parallelism on modern Multi- and Many-Core Architectures

Markus Geveler, Dirk Ribbrock, Sven Mallach, Dominik Goddeke

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Source codes

Tags: Cell processor, CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, Package

March 1, 2011 by hgpu

Porous Rock Simulations and Lattice Boltzmann on GPUs

Eirik O. Aksnes, and Anne C. Elster

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia Quadro FX 5800

February 25, 2011 by hgpu

GPU-accelerated surface denoising and morphing with lattice Boltzmann scheme

Ye Zhao

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Tags: Filtering, Image processing, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX, OpenGL

February 6, 2011 by hgpu

Dispersion Simulation and Visualization For Urban Security

Arie E. Kaufman, Feng Qiu, Haik Lorenz, Jianning Wang, Suzanne Yoakum-Stover, Arie Kaufman, Klaus Mueller

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Tags: Computer science, Lattice Boltzmann model, nVidia, nVidia GeForce FX 5950 Ultra, OpenGL, Visualization

February 4, 2011 by hgpu

Highly interactive computational steering for coupled 3D flow problems utilizing multiple GPUs

Jan Linxweiler, Manfred Krafczyk, Jonas Toelke

Tags: Algorithms, Fluid dynamics, Lattice Boltzmann model

January 31, 2011 by hgpu

Visual Simulation of Flow

Arie E. Kaufman, Ye Zhao

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Tags: Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, nVidia GeForce FX 5950 Ultra

January 17, 2011 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

Optimization and Implementation of LBM Benchmark on Multithreaded GPU

Performance analysis of single-phase, multiphase, and multicomponent lattice-Boltzmann fluid flow simulations on GPU clusters

Performance analysis and optimization strategies for a D3Q19 lattice Boltzmann kernel on nVIDIA GPUs using CUDA

Multi-GPU Performance of Incompressible Flow Computation by Lattice Boltzmann Method on GPU Cluster

Performance and accuracy of Lattice-Boltzmann kernels on multi- and manycore architectures

Lattice-Boltzmann Simulation of the Shallow-Water Equations with Fluid-Structure Interaction on Multi- and Manycore Processors

A Simulation Suite for Lattice-Boltzmann based Real-Time CFD Applications Exploiting Multi-Level Parallelism on modern Multi- and Many-Core Architectures

Porous Rock Simulations and Lattice Boltzmann on GPUs

GPU-accelerated surface denoising and morphing with lattice Boltzmann scheme

Dispersion Simulation and Visualization For Urban Security

Highly interactive computational steering for coupled 3D flow problems utilizing multiple GPUs

Visual Simulation of Flow

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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