Fluid dynamics | Page 25

Applications

hgpu.org » Applications » Fluid dynamics

Solving the Boltzmann equation on GPUs

Aldo Frezzotti, Gian Pietro Ghiroldi, Livio Gibelli

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Tags: Boltzmann equation, CUDA, Finite difference, Fluid dynamics, nVidia, nVidia GeForce GTX 260, Particle simulation

January 18, 2012 by hgpu

Investigation of Parallel Computation – MPI, CUDA and Parallel Visualization

Lei Fan

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Tags: Algorithms, Computer science, CUDA, Fluid dynamics, MPI, nVidia, OpenGL, Sorting, Visualization

January 18, 2012 by hgpu

Feature Extraction and Visualization from Higher-Order CFD Data

Christian Azambuja Pagot

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Tags: CUDA, Flow analysis, Fluid dynamics, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Thesis, Visualization

January 16, 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

Multiphase Fluid Simulations on a Multiple GPGPU PC Using Unsplit Time Integration VSIAM3

Akio Ikebata, Yoshihiko Muraoka, Feng Xiao

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Tags: Fluid dynamics, Fluid simulation, GPU cluster, nVidia, nVidia GeForce GTX 295, OpenCL

January 7, 2012 by hgpu

Research and Application of Parallel Computing Technologies based on CUDA and OpenCL

Xiangyun Liao, Zhiyong Yuan, Weixin Si, Zhaoliang Duan, Ruixue Mao, Jianhui Zhao

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Tags: ATI, ATI Radeon HD 5850, CUDA, Fluid dynamics, nVidia, nVidia GeForce 9600 GT, OpenCL, Physics, Rendering, Tesla C1060

January 3, 2012 by hgpu

Linear Solvers for Stable Fluids: GPU vs CPU

Goncalo Amador, Abel Gomes

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Tags: Algorithms, CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce 8800 GT, Sparse linear iterative solvers

January 2, 2012 by hgpu

Performance of Implicit Solver Strategies on GPUs

Uli Gohner

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Tags: CUDA, Fluid dynamics, Linear Algebra, nVidia, nVidia GeForce 9600 GT

January 2, 2012 by hgpu

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

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

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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

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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

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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

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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

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

Applications

Solving the Boltzmann equation on GPUs

Investigation of Parallel Computation – MPI, CUDA and Parallel Visualization

Feature Extraction and Visualization from Higher-Order CFD Data

Designing Numerical Solvers for Next Generation High Performance Computing

Multiphase Fluid Simulations on a Multiple GPGPU PC Using Unsplit Time Integration VSIAM3

Research and Application of Parallel Computing Technologies based on CUDA and OpenCL

Linear Solvers for Stable Fluids: GPU vs CPU

Performance of Implicit Solver Strategies on GPUs

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

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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