high performance computing on graphics processing units: hgpu.org

hgpu.org » Fluid dynamics

Hierarchical Line Integration

Marcel Hlawatsch, Filip Sadlo, Daniel Weiskopf

Tags: Algorithms, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 260, Visualization

June 25, 2011 by hgpu

Lattice-based flow field modeling

Xiaoming Wei, Ye Zhao, Zhe Fan, Wei Li, Feng Qiu, Suzanne Yoakum-Stover, Arie E. Kaufman

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Tags: Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, nVidia GeForce FX 5900 Ultra, OpenGL

June 20, 2011 by hgpu

Efficient LBM Visual Simulation on Face-Centered Cubic Lattices

Kaloian Petkov, Feng Qiu, Zhe Fan, Arie E. Kaufman, Klaus Mueller

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Tags: Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering

June 19, 2011 by hgpu

The Possibility of Fast Large-Scale Numerical Simulation Implemented with Graphics Processing Units

Chi-Jer Yu, Chii-Tung Liu

Tags: Computer science, CUDA, Finite volume method, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTX 280

June 17, 2011 by hgpu

Accelerating Unstructured Mesh Computational Fluid Dynamics on the NVidia Tesla GPU Architecture

Graham Markall

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Tags: Conjugate gradient solver, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 280, Package, Thesis

June 5, 2011 by hgpu

Performance Analysis of the OP2 Framework on Many-core Architectures

M.B. Giles, G.R. Mudalige, Z. Sharif, G. Markall and P.H.J Kelly

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Source codes

Tags: CUDA, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 260, OpenMP, Package, Performance, Tesla C2050

June 5, 2011 by hgpu

Numerical simulation of 3D particulate flows based on GPU technology

Tobias Hahn

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 280, Thesis

June 4, 2011 by hgpu

Multiple-GPUs Algorithm for Lattice Boltzmann Method

Jifu Zhou, Chengwen Zhong, Jianfei Xie, Shiqun Yin

Tags: Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, OpenGL, Rendering

June 3, 2011 by hgpu

Toward efficient GPU-accelerated N-body simulations

Mark J. Stock, Adrin Gharakhani

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce 8800 GTX

June 3, 2011 by hgpu

Modeling Rotor Wakes with a Hybrid OVERFLOW-Vortex Method on a GPU Cluster

Mark J. Stock, Adrin Gharakhani, Christopher P. Stone

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Tags: Fluid dynamics, Fluid simulation, GPU cluster, nVidia, nVidia GeForce GTX 275, Tesla S1070

June 3, 2011 by hgpu

A GPU-accelerated Boundary Element Method and Vortex Particle Method

Mark J. Stock, Adrin Gharakhani

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Tags: Fluid dynamics, Fluid simulation, GPU cluster, nVidia, nVidia GeForce GTX 275, Tesla S1070

June 3, 2011 by hgpu

SSE Vectorized and GPU Implementations of Arakawa’s Formula for Numerical Integration of Equations of Fluid Motion

E. Yurtesen, M. Ropo, M. Aspnas, J. Westerholm

Tags: Finite difference, Fluid dynamics

May 24, 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

Hierarchical Line Integration

Lattice-based flow field modeling

Efficient LBM Visual Simulation on Face-Centered Cubic Lattices

The Possibility of Fast Large-Scale Numerical Simulation Implemented with Graphics Processing Units

Accelerating Unstructured Mesh Computational Fluid Dynamics on the NVidia Tesla GPU Architecture

Performance Analysis of the OP2 Framework on Many-core Architectures

Numerical simulation of 3D particulate flows based on GPU technology

Multiple-GPUs Algorithm for Lattice Boltzmann Method

Toward efficient GPU-accelerated N-body simulations

Modeling Rotor Wakes with a Hybrid OVERFLOW-Vortex Method on a GPU Cluster

A GPU-accelerated Boundary Element Method and Vortex Particle Method

SSE Vectorized and GPU Implementations of Arakawa’s Formula for Numerical Integration of Equations of Fluid Motion

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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