high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Fluid dynamics

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

Running unstructured grid-based CFD solvers on modern graphics hardware

Andrew Corrigan, Fernando F. Camelli, Rainald Lohner, John Wallin

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Tags: Algorithms, CUDA, Fluid dynamics, nVidia, Tesla

November 6, 2011 by hgpu

Real-time Flame Rendering with GPU and CUDA

Wei Wei,Yanqiong Huang

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Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce 7600 GS, OpenGL, Particle simulation, Rendering

November 5, 2011 by hgpu

Scalability of Incompressible Flow Computations on Multi-GPU Clusters Using Dual-Level and Tri-Level Parallelism

Dana A. Jacobsen, Inanc Senocak

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Tags: CUDA, Fluid dynamics, GPU cluster, MPI, nVidia, OpenMP, Tesla C1060, Tesla S1070

October 25, 2011 by hgpu

Development of a Flow Solver with Complex Kinetics on the Graphic Processing Units

Hai P. Le, Jean-Luc Cambier

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Tags: Chemistry, Computational Physics, CUDA, Finite volume method, Fluid dynamics, nVidia, Tesla C2050, Tesla C2070

October 25, 2011 by hgpu

Massively Parallel Algorithms for CFD Simulation and Optimization on Heterogeneous Many-Core Architectures

Austen C. Duffy

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Tags: Algorithms, CUDA, Fluid dynamics, Fortran, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Optimization, Partial differential equations, PDEs, Thesis

October 23, 2011 by hgpu

Computational Fluid Dynamics Using Graphics Processing Units: Challenges and Opportunities

S. Pratap Vanka, Aaron F. Shinn, Kirti C. Sahu

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Tags: Algorithms, CUDA, Fluid dynamics, nVidia, Review, Tesla C1060

October 21, 2011 by hgpu

A Code Transformation Framework for Scientific Applications on Structured Grids

Pei-Hung Lin, Jagan Jayaraj, Paul Woodward, Pen-chung Yew

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Tags: Compilers, Computer science, Fluid dynamics, Optimization, Performance, Programming techniques

October 19, 2011 by hgpu

Optimization strategies for parallel CPU and GPU implementations of a meshfree particle method

Jose M. Dominguez, Alejandro J.C. Crespo, Moncho Gomez-Gesteira

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Tags: Computational Engineering, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 480, OpenMP, Optimization, Performance, Tesla C1060

October 18, 2011 by hgpu

The Lattice Boltzmann Simulation on Multi-GPU Systems

Thor Kristian Valderhaug

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Tags: ATI, ATI Radeon HD 5870, Fluid dynamics, Lattice Boltzmann model, MPI, nVidia, OpenCL, Tesla C1060, Tesla C2070, Tesla S2070, Tesla T10, Thesis

October 17, 2011 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

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

Running unstructured grid-based CFD solvers on modern graphics hardware

Real-time Flame Rendering with GPU and CUDA

Scalability of Incompressible Flow Computations on Multi-GPU Clusters Using Dual-Level and Tri-Level Parallelism

Development of a Flow Solver with Complex Kinetics on the Graphic Processing Units

Massively Parallel Algorithms for CFD Simulation and Optimization on Heterogeneous Many-Core Architectures

Computational Fluid Dynamics Using Graphics Processing Units: Challenges and Opportunities

A Code Transformation Framework for Scientific Applications on Structured Grids

Optimization strategies for parallel CPU and GPU implementations of a meshfree particle method

The Lattice Boltzmann Simulation on Multi-GPU Systems

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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