high performance computing on graphics processing units: hgpu.org

hgpu.org » Fluid dynamics

Hardware-Assisted High-Efficiency Ray Casting of Unstructured Time-Varying Flows Using Temporal Coherence

Qianli Ma, Liang Zeng, Huaxun Xu, Wenke Wang, Sikun Li

View

Download (PDF)

Tags: Algorithms, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTS 250, Rendering

December 31, 2011 by hgpu

Numerical solution of PDEs with hybrid and heterogeneous computing models

Markus Hegland

View

Download (PDF)

Tags: Algorithms, CUDA, Differential equations, Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 295, Partial differential equations, PDEs, Physics, Plasma physics, Review

December 23, 2011 by hgpu

Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation

Andre R. Brodtkorb, Martin L. Saetra, Mustafa Altinakar

View

Download (PDF)

Tags: CUDA, Fluid dynamics, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Visualization

December 22, 2011 by hgpu

Computational Fluid Dynamics Simulations using Many Graphics Processors

Ali Khajeh-Saeed, J. Blair Perot

View

Download (PDF)

Tags: Algorithms, CUDA, Fluid dynamics, GPU cluster, Laplace and Poisson equation, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Poisson equation, Tesla C2070, Tesla S1070

December 21, 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

View

Download (PDF)

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

December 21, 2011 by hgpu

GPU-based simulation of 3D blood flow in abdominal aorta using OpenFOAM

Z. Malecha, L. Miroslaw, T. Tomczak, Z. Koza, M. Matyka, W. Tarnawski, D. Szczerba

View

Download (PDF)

Tags: CUDA, Fluid dynamics, Medicine, nVidia, nVidia GeForce GTX 275

December 18, 2011 by hgpu

Parallel mesh adaptation and graph analysis using graphics processing units

Timothy P. McGuiness

View

Download (PDF)

Tags: Algorithms, CUDA, FEM, Finite element method, Fluid dynamics, Graph theory, MPI, nVidia, nVidia GeForce GTX 295, Tesla S1070

December 17, 2011 by hgpu

Implementation and Evaluation of Scientific Simulations on High Performance Computing Architectures

Bibrak Qamar, Jahanzeb Maqbool

View

Download (PDF)

Tags: Algorithms, CUDA, Finance, Fluid dynamics, Numerical Analysis, nVidia, nVidia GeForce GTX 480, Review, Thesis, Visualization

December 16, 2011 by hgpu

Free surface flow simulations on GPGPUs using the LBM

Christian Janssen, Manfred Krafczy

View

Download (PDF)

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

December 15, 2011 by hgpu

Water Surface Animation using Damped Wave Equation and CUDA Acceleration

Gennadiy Nikishkov, Yohei Nishidate

View

Download (PDF)

Tags: CUDA, Differential equations, Finite difference, Fluid dynamics, nVidia, nVidia Quadro FX 3800, Wave equation

December 14, 2011 by hgpu

Lattice Boltzmann Simulation of Binary Mixture Diffusion Using Modern Graphics Processors

Mohammad Amin Safi, Mahmud Ashrafizaadeh, Amir Ali Ashrafizaadeh

View

Download (PDF)

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

December 13, 2011 by hgpu

Towards a complete FEM-based simulation toolkit on GPUs: Geometric Multigrid solvers

Markus Geveler, Dirk Ribbrock, Dominik Goddeke, Peter Zajac, Stefan Turek

View

Download (PDF)

Tags: Benchmarking, CUDA, Differential equations, FEM, Finite element method, Fluid dynamics, nVidia, nVidia GeForce GTX 285, Partial differential equations, PDEs, Sparse matrix

December 7, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Hardware-Assisted High-Efficiency Ray Casting of Unstructured Time-Varying Flows Using Temporal Coherence

Numerical solution of PDEs with hybrid and heterogeneous computing models

Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation

Computational Fluid Dynamics Simulations using Many Graphics Processors

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

GPU-based simulation of 3D blood flow in abdominal aorta using OpenFOAM

Parallel mesh adaptation and graph analysis using graphics processing units

Implementation and Evaluation of Scientific Simulations on High Performance Computing Architectures

Free surface flow simulations on GPGPUs using the LBM

Water Surface Animation using Damped Wave Equation and CUDA Acceleration

Lattice Boltzmann Simulation of Binary Mixture Diffusion Using Modern Graphics Processors

Towards a complete FEM-based simulation toolkit on GPUs: Geometric Multigrid solvers

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)