Fluid dynamics | Page 21

Applications

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Energy efficiency vs. performance of the numerical solution of PDEs: an application study on a low-power ARM-based cluster

Dominik Goeddeke, Dimitri Komatitsch, Markus Geveler, Dirk Ribbrock, Nikola Rajovic, Nikola Puzovic, Alex Ramirez

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Tags: ARM, Differential equations, Energy-efficient computing, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, Partial differential equations, PDEs, Spectral elements

November 26, 2012 by hgpu

Lattice Boltzmann Simulations on a GPU: An optimization approach using C++ AMP

Kristoffer Clausen Thyholdt

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Tags: Algorithms, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia Quadro 1000 M, Optimization, Thesis

November 18, 2012 by hgpu

An architecture for real time fluid simulation using multiple GPUs

Jose Silva Junior, Mark Joselli, Marcelo Zamith, Eduardo Soluri, Esteban Clua

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Tags: CUDA, Fluid dynamics, Fluid simulation, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 580

November 14, 2012 by hgpu

Production Level CFD Code Acceleration for Hybrid Many-Core Architectures

Austen C. Duffy, Dana P. Hammond, Eric J. Nielsen

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 480

November 1, 2012 by hgpu

Finite Pointset Method for 2D Dam-Break Problem with GPU-Acceleration

M. Panchatcharam, S. Sundar

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, Tesla M2050

October 26, 2012 by hgpu

Overdetermined Shooting Methods for Computing Standing Water Waves with Spectral Accuracy

Jon Wilkening, Jia Yu

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Tags: Algorithms, CUDA, Extended precision, Fluid dynamics, nVidia, Tesla M2050

October 23, 2012 by hgpu

Platform-independent parallelization of the Lattice Boltzmann method with OpenCL

Carolin Wolf

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Tags: Algorithms, ATI, ATI Mobility Radeon HD 5470, ATI Radeon HD 4870, Fluid dynamics, Lattice Boltzmann model, nVidia, OpenCL, Tesla M1060, Thesis

October 17, 2012 by hgpu

Design and Performance Evaluation of a Software Framework for Multi-Physics Simulations on Heterogeneous Supercomputers

Christian Feichtinger

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Tags: CUDA, Fluid dynamics, GPU cluster, Heterogeneous systems, Lattice Boltzmann model, MPI, Numerical simulation, nVidia, Tesla M2050, Tesla M2070, Thesis

October 17, 2012 by hgpu

Analysis of Single Phase Fluid Flow and Heat Transfer in Slip Flow Regime by Parallel Implementation of Lattice Boltzmann Method on GPUs

Sitki Berat Celik

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Source codes

Tags: Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla C1060, Thesis

October 16, 2012 by hgpu

Lattice Group Models: GPU Acceleration and Numerics

Stefan Brechtken

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Tags: Boltzmann equation, CUDA, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTX 580, Optimization

October 14, 2012 by hgpu

Realtime Two-Way Coupling of Meshless Fluids and Nonlinear FEM

Lipeng Yang, Shuai Li, Aimin Hao, Hong Qin

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Tags: Algorithms, CUDA, FEM, Fluid dynamics, GLSL, nVidia, nVidia GeForce GTX 580

October 8, 2012 by hgpu

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

Daniel Valdez-Balderas, Jose M. Dominguez, Benedict D. Rogers, Alejandro J.C. Crespo

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Tags: Algorithms, Computational Physics, Condensed matter, CUDA, Fluid dynamics, GPU cluster, Instrumentation and Methods for Astrophysics, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 480, Physics, Sorting, Tesla M2050

October 4, 2012 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

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high performance computing on graphics processing units: hgpu.org

Applications

Energy efficiency vs. performance of the numerical solution of PDEs: an application study on a low-power ARM-based cluster

Lattice Boltzmann Simulations on a GPU: An optimization approach using C++ AMP

An architecture for real time fluid simulation using multiple GPUs

Production Level CFD Code Acceleration for Hybrid Many-Core Architectures

Finite Pointset Method for 2D Dam-Break Problem with GPU-Acceleration

Overdetermined Shooting Methods for Computing Standing Water Waves with Spectral Accuracy

Platform-independent parallelization of the Lattice Boltzmann method with OpenCL

Design and Performance Evaluation of a Software Framework for Multi-Physics Simulations on Heterogeneous Supercomputers

Analysis of Single Phase Fluid Flow and Heat Transfer in Slip Flow Regime by Parallel Implementation of Lattice Boltzmann Method on GPUs

Lattice Group Models: GPU Acceleration and Numerics

Realtime Two-Way Coupling of Meshless Fluids and Nonlinear FEM

Towards accelerating Smoothed Particle Hydrodynamics simulations for free-surface flows on multi-GPU clusters

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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