high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Fluid dynamics

GPU-Accelerated SPH Model for Water Waves and Other Free Surface Flows

Robert Anthony Dalrymple, Alexis Herault, Giuseppe Bilotta, Rozita Jalali Farahani

View

Download (PDF)

Source codes

Tags: CUDA, Fluid dynamics, nVidia, OpenGL, Package, Visualization

November 30, 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

View

Download (PDF)

Source codes

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

November 24, 2011 by hgpu

A Massive Data Parallel Computational Framework on Petascale/Exascale Hybrid Computer Systems

Marek Blazewicz, Steven R. Brandt, Peter Diener, David M. Koppelman, Krzysztof Kurowski, Frank Loffler, Erik Schnetter, Jian Tao

View

Download (PDF)

Source codes

Tags: CUDA, Fluid dynamics, Heterogeneous systems, nVidia, OpenCL, Optimization, Package, Programming techniques, Tesla S1070

October 4, 2011 by hgpu

Navier-Stokes on programmable graphics hardware using SMAC

C.E. Scheidegger, J.L.D. Comba, R.D. da Cunha

View

Download (PDF)

Source codes

Tags: Algorithms, Fluid dynamics, Fluid simulation, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce FX 5900, OpenGL, Package

July 28, 2011 by hgpu

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

Graham Markall

View

Download (PDF)

Source codes

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

View

Download (PDF)

Source codes

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

June 5, 2011 by hgpu

Fast and accurate PIV computation using highly parallel iterative correlation maximization

F. Champagnat, A. Plyer, G. Le Besnerais, B. Leclaire, S. Davoust, Y. Le Sant

View

Download (PDF)

Source codes

Tags: CUDA, Fluid dynamics, nVidia, Package, Tesla C1060

March 22, 2011 by hgpu

Integrating GPUs as fast co-processors into the existing parallel FE package FEAST

Dominik Goddeke, Christian Becker, Stefan Turek

View

Download (PDF)

Tags: Finite element method, Fluid dynamics, nVidia, nVidia Quadro FX 1400, Package, Partial differential equations, PDEs

March 2, 2011 by hgpu

Hardware-Oriented Multigrid Finite Element Solvers on GPU-Accelerated Clusters

Stefan Turek, Dominik Goddeke, Sven H.M. Buijssen, Hilmar Wobker

View

Download (PDF)

Tags: CUDA, Finite element method, Fluid dynamics, nVidia, nVidia GeForce GTX 280, Package

March 2, 2011 by hgpu

FEAST – Realisation of hardware-oriented Numerics for HPC simulations with Finite Elements

Stefan Turek, Dominik Goddeke, Christian Becker, Sven H.M. Buijssen, Hilmar Wobker

View

Download (PDF)

Tags: CUDA, Finite element method, Fluid dynamics, nVidia, nVidia GeForce GTX 280, Package

March 1, 2011 by hgpu

Efficient Finite Element Geometric Multigrid Solvers for Unstructured Grids on GPUs

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

View

Download (PDF)

Source codes

Tags: Cell processor, CUDA, Finite element method, Fluid dynamics, GPU cluster, MPI, nVidia, nVidia GeForce GTX 285, Package

March 1, 2011 by hgpu

Performance and accuracy of Lattice-Boltzmann kernels on multi- and manycore architectures

Dirk Ribbrock, Markus Geveler, Dominik Goddeke, Stefan Turek

View

Download (PDF)

Source codes

Tags: Cell processor, CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, Package

March 1, 2011 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

GPU-Accelerated SPH Model for Water Waves and Other Free Surface Flows

An Explicit Algorithm for Porous Media Flow Simulation using GPUs

A Massive Data Parallel Computational Framework on Petascale/Exascale Hybrid Computer Systems

Navier-Stokes on programmable graphics hardware using SMAC

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

Performance Analysis of the OP2 Framework on Many-core Architectures

Fast and accurate PIV computation using highly parallel iterative correlation maximization

Integrating GPUs as fast co-processors into the existing parallel FE package FEAST

Hardware-Oriented Multigrid Finite Element Solvers on GPU-Accelerated Clusters

FEAST – Realisation of hardware-oriented Numerics for HPC simulations with Finite Elements

Efficient Finite Element Geometric Multigrid Solvers for Unstructured Grids on GPUs

Performance and accuracy of Lattice-Boltzmann kernels on multi- and manycore architectures

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

Most viewed papers (last 30 days)