high performance computing on graphics processing units: hgpu.org

hgpu.org » Fluid dynamics

GPU Based Fast Free-Wake Calculations For Multiple Horizontal Axis Wind Turbine Rotors

M. Turkal, Y. Novikov, S. Usenmez, N. Sezer-Uzol, O. Uzol

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 770

June 20, 2014 by hgpu

Computing on Knights and Kepler Architectures

G. Bortolotti, M. Caberletti, G. Crimi, A. Ferraro, F. Giacomini, M. Manzali, G. Maron, M. Pivanti, D. Salomoni, S. F. Schifano, R. Tripiccione, M. Zanella

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Tags: CUDA, Fluid dynamics, Intel Xeon Phi, Lattice Boltzmann model, nVidia, Tesla K20

June 18, 2014 by hgpu

On the Performance Portability of Structured Grid Codes on Many-Core Computer Architectures

Simon McIntosh-Smith, Michael Boulton, Dan Curran, James Price

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Tags: CloverLeaf, Fluid dynamics, GPU, Intel Xeon Phi, lattice Boltzmann, OpenCL, performance portability, ROTORSIM, structured grid

June 17, 2014 by simonmcs

A Portable OpenCL Lattice Boltzmann Code for Multi- and Many-core Processor Architectures

Enrico Calore, Sebastiano Fabio Schifano, Raffaele Tripiccione

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, Intel Xeon Phi, Lattice Boltzmann model, nVidia, OpenCL, Tesla K20

June 17, 2014 by hgpu

Scalable Lattice Boltzmann Solvers for CUDA GPU Clusters

Christian Obrecht, Frederic Kuznik, Bernard Tourancheau, Jean-Jacques Roux

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Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, nVidia, OpenMPI, Tesla M2070

June 15, 2014 by hgpu

Optimization of solver for gas flow modeling

D. Savichkin, O. Dodulad, Yu. Kloss

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Tags: Boltzmann equation, Fluid dynamics, Intel Xeon Phi

May 29, 2014 by hgpu

Tri-Hybrid Computational Fluid Dynamics on DOE’s Cray XK7, Titan

Aaron Vose, Brian Mitchell, John Levesque

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Tags: CUDA, Fluid dynamics, MPI, nVidia, OpenACC, Tesla K20

May 24, 2014 by hgpu

Petascale Application of a Coupled CPU-GPU Algorithm for Simulation and Analysis of Multiphase Flow Solutions in Porous Medium Systems

James E. McClure, Hao Wang, Jan F. Prins, Cass T. Miller, Wu-chun Feng

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Tags: Algorithms, CUDA, Fluid dynamics, Heterogeneous systems, Lattice Boltzmann model, MPI, nVidia, Tesla K20

May 23, 2014 by hgpu

targetDP: an Abstraction of Lattice Based Parallelism with Portable Performance

Alan Gray, Kevin Stratford

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Tags: CUDA, Data parallelism, Fluid dynamics, Intel Xeon Phi, Lattice Boltzmann model, nVidia, Tesla K40

May 20, 2014 by hgpu

Porting NAHUJ to CUDA

Evghenii Gaburov

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Tags: CUDA, Fluid dynamics, Fortran, nVidia, Tesla K20

May 16, 2014 by hgpu

Hybrid Use of OmpSs for a Shock Hydrodynamics Proxy Application

Jan Christian Meyer

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Tags: CUDA, Fluid dynamics, nVidia, Physics, Tesla K20

May 16, 2014 by hgpu

Multi-GPGPU Cellular Automata Simulations using OpenACC

Sebastian Szkoda, Zbigniew Koza, Mateusz Tykierko

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Tags: Algorithms, Cellular automata, CUDA, Fluid dynamics, MPI, nVidia, nVidia GeForce GTX 480, OpenACC, Tesla C2090, Tesla K20, Tesla M2090

May 15, 2014 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU Based Fast Free-Wake Calculations For Multiple Horizontal Axis Wind Turbine Rotors

Computing on Knights and Kepler Architectures

On the Performance Portability of Structured Grid Codes on Many-Core Computer Architectures

A Portable OpenCL Lattice Boltzmann Code for Multi- and Many-core Processor Architectures

Scalable Lattice Boltzmann Solvers for CUDA GPU Clusters

Optimization of solver for gas flow modeling

Tri-Hybrid Computational Fluid Dynamics on DOE’s Cray XK7, Titan

Petascale Application of a Coupled CPU-GPU Algorithm for Simulation and Analysis of Multiphase Flow Solutions in Porous Medium Systems

targetDP: an Abstraction of Lattice Based Parallelism with Portable Performance

Porting NAHUJ to CUDA

Hybrid Use of OmpSs for a Shock Hydrodynamics Proxy Application

Multi-GPGPU Cellular Automata Simulations using OpenACC

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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