high performance computing on graphics processing units: hgpu.org

hgpu.org » Fluid dynamics

Overlapping Computation and Communication for Advection on Hybrid Parallel Computers

James B White III (Trey), Jack Dongarra

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Tags: CUDA, Fluid dynamics, Fortran, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, OpenMPI, Presentation, Tesla C1060, Tesla C2050

November 27, 2011 by hgpu

Design of 3D FFT on Multi-GPU Clusters

Arpan Maheshwari

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Tags: CUDA, FFT, Fluid dynamics, GPU cluster, nVidia, Spectral methods, Tesla T10, Thesis

November 25, 2011 by hgpu

An Explicit Algorithm for Porous Media Flow Simulation using GPUs

D.N. Morozov, B.N. Chetverushkin, N.G. Churbanova, M.A. Trapeznikova

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Tags: Algorithms, CUDA, Finite difference, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 295, Package

November 24, 2011 by hgpu

Anisotropic mesh coarsening and refinement on GPU architecture

Matthew Potter

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Tags: Algorithms, CUDA, Differential equations, Finite volume method, Fluid dynamics, nVidia, Partial differential equations, PDEs, Tesla M2050, Thesis

November 19, 2011 by hgpu

Predictive Modeling and Analysis of OP2 on Distributed Memory GPU Clusters

G.R. Mudalige, M.B. Giles, C. Bertolli, P.H.J Kelly

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Tags: Benchmarking, Computer science, CUDA, Fluid dynamics, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 560 Ti, Performance, Tesla C2070

November 19, 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

A Full-Depth Amalgamated Parallel 3D Geometric Multigrid Solver for GPU Clusters

Dana A. Jacobsen

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Tags: Algorithms, CUDA, Fluid dynamics, GPU cluster, Laplace and Poisson equation, MPI, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 470, Poisson equation, Tesla S1070

November 16, 2011 by hgpu

An MPI-CUDA implementation of an improved Roe method for two-layer shallow water systems

Marc de la Asuncion, Jose M. Mantas, Manuel J. Castro, E.D. Fernandez-Nieto

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Tags: Cluster computing, CUDA, Fluid dynamics, GPU cluster, MPI, nVidia, nVidia GeForce GTX 480, Triangular meshes

November 15, 2011 by hgpu

Toward improved aeromechanics simulations using recent advancements in scientific computing

Qi Hu, Monica Syal, Nail Gumerov, Ramani Duraiswami, J. Gordon Leishman

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Tags: Algorithms, Cloud, CUDA, Fast multipole method, Fluid dynamics, nVidia

November 14, 2011 by hgpu

Solving Incompressible Two-Phase Flows on Massively Parallel Multi-GPU Clusters

P. Zaspel, M. Griebel

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Tags: Compression, CUDA, Finite difference, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, Tesla M1060, Tesla S1070

November 14, 2011 by hgpu

GPU Cuda Performance on Two-Dimensional and Three-Dimensional VAWT Vortex Models

Steven Hard, Jay Wilhel, Franz A. Pert, James E. Smit

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Tags: Algorithms, Analytical model, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 285

November 10, 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

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

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high performance computing on graphics processing units: hgpu.org

Overlapping Computation and Communication for Advection on Hybrid Parallel Computers

Design of 3D FFT on Multi-GPU Clusters

An Explicit Algorithm for Porous Media Flow Simulation using GPUs

Anisotropic mesh coarsening and refinement on GPU architecture

Predictive Modeling and Analysis of OP2 on Distributed Memory GPU Clusters

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

A Full-Depth Amalgamated Parallel 3D Geometric Multigrid Solver for GPU Clusters

An MPI-CUDA implementation of an improved Roe method for two-layer shallow water systems

Solving Incompressible Two-Phase Flows on Massively Parallel Multi-GPU Clusters

GPU Cuda Performance on Two-Dimensional and Three-Dimensional VAWT Vortex Models

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

Recent source codes

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

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