high performance computing on graphics processing units: hgpu.org

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GPU implementation of a hybrid lattice Boltzmann method for non-isothermal flows

Nachiket Sahasrabudhe, Mahesh Mynam, Ajay Nandgaonkar, Gayathri Jayaraman

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Tags: Algorithms, CUDA, Finite difference, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla C1070

September 4, 2012 by hgpu

Efficient simulations of long wave propagation and runup using a LBM approach on GPGPU hardware

Christian F. Janssen, Stephan T. Grilli, Manfred Krafczyk

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, Numerical simulation, nVidia, Tesla C2070, Wave equation

June 19, 2012 by hgpu

CUDA-enabled LBM Flow Simulation around Three Equilateral Cylinders using GPU Computing Processor

Muhammad Shafiqul Alam, Liang Cheng

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

February 27, 2012 by hgpu

Efficient parallel implementation of the lattice Boltzmann method on large clusters of graphic processing units

Xiong QinGang, Li Bo, Xu Ji, Fang XiaoJian, Wang XiaoWei, Wang LiMin, He XianFeng, Ge Wei

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Tags: Algorithms, CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, Numerical simulation, nVidia, Tesla C2050

February 22, 2012 by hgpu

Multiscale Hemodynamics Using GPU Clusters

Mauro Bisson, Massimo Bernaschi, Simone Melchionna, Sauro Succi, Efthimios Kaxiras

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Tags: Biology, CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, Medicine, nVidia, Tesla C1060

February 17, 2012 by hgpu

Designing Numerical Solvers for Next Generation High Performance Computing

Mark James Mawson

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia Quadro FX 6000, PC cluster, Review, Thesis

January 9, 2012 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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Tags: CUDA, Fluid dynamics, Heterogeneous systems, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285

December 21, 2011 by hgpu

Free surface flow simulations on GPGPUs using the LBM

Christian Janssen, Manfred Krafczy

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 275, Tesla C1060

December 15, 2011 by hgpu

Lattice Boltzmann Simulation of Binary Mixture Diffusion Using Modern Graphics Processors

Mohammad Amin Safi, Mahmud Ashrafizaadeh, Amir Ali Ashrafizaadeh

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

December 13, 2011 by hgpu

Performance engineering for the Lattice Boltzmann method on GPGPUs: Architectural requirements and performance results

Johannes Habich, Christian Feichtinger, Harald Kostler, Georg Hager, Gerhard Wellein

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Tags: Algorithms, ATI, ATI Radeon HD 6970, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX, OpenCL, Optimization, Performance, Tesla C1060, Tesla C2070

December 6, 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, Stefan Turek

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Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285

November 16, 2011 by hgpu

Global memory access modelling for efficient implementation of the lattice Boltzmann method on graphics processing units

Christian Obrecht, Frederic Kuznik, Bernard Tourancheau, Jean-Jacques Roux

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Tags: Benchmarking, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 295

November 6, 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

GPU implementation of a hybrid lattice Boltzmann method for non-isothermal flows

Efficient simulations of long wave propagation and runup using a LBM approach on GPGPU hardware

CUDA-enabled LBM Flow Simulation around Three Equilateral Cylinders using GPU Computing Processor

Efficient parallel implementation of the lattice Boltzmann method on large clusters of graphic processing units

Multiscale Hemodynamics Using GPU Clusters

Designing Numerical Solvers for Next Generation High Performance Computing

A simulation suite for lattice Boltzmann based real time CFD applications exploiting multi-level parallelism on modern multi-and many-core architectures

Free surface flow simulations on GPGPUs using the LBM

Lattice Boltzmann Simulation of Binary Mixture Diffusion Using Modern Graphics Processors

Performance engineering for the Lattice Boltzmann method on GPGPUs: Architectural requirements and performance results

Lattice-Boltzmann simulation of the shallow-water equations with fluid-structure interaction on multi-and manycore processors

Global memory access modelling for efficient implementation of the lattice Boltzmann method on graphics processing units

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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