high performance computing on graphics processing units: hgpu.org

hgpu.org » Fluid dynamics

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

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

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

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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

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

December 17, 2011 by hgpu

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

LC Framework

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

OpScanner

A Study of Floating-Point Precision Tuning in Deep Learning Operators Implementations

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

See all packages

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high performance computing on graphics processing units: hgpu.org

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

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

Recent source codes

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

LC Framework

OpScanner

Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

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