high performance computing on graphics processing units: hgpu.org

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Co-processor acceleration of an unmodified parallel solid mechanics code with FEASTGPU

Dominik Goddeke, Hilmar Wobker, Robert Strzodka, Jamaludin Mohd-Yusof, Patrick McCormick, Stefan Turek

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Tags: CUDA, Finite element method, Heterogeneous systems, MPI, nVidia, nVidia Quadro FX 5600, Physics

March 1, 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

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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

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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

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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

Lattice-Boltzmann Simulation of the Shallow-Water Equations with Fluid-Structure Interaction on Multi- and Manycore Processors

Markus Geveler, Dirk Ribbrock, Dominik Goddeke, and Stefan Turek

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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

A Simulation Suite for Lattice-Boltzmann based Real-Time CFD Applications Exploiting Multi-Level Parallelism on modern Multi- and Many-Core Architectures

Markus Geveler, Dirk Ribbrock, Sven Mallach, Dominik Goddeke

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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

Accelerating Molecular Dynamics Simulations with GPUs

John Paul Walters, Vidyananth Balu, Vipin Chaudhary, David Kofke, Andrew Schultz

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Tags: Chemistry, CUDA, Molecular dynamics, Molecular simulation, nVidia, nVidia GeForce 8800 GTX

February 28, 2011 by hgpu

Fast and Accurate Generalized Harmonic Analysis and Its Parallel Computation by GPU

Hisayori Noda, Akinori Nishihara

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Tags: Computer science, CUDA, FFT, nVidia

February 28, 2011 by hgpu

A Case Study for Petascale Applications in Astrophysics: Simulating Gamma-Ray Bursts

C. D. Ott, E. Schnetter, G. Allen, E. Seidel, J. Tao, B. Zink

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia Quadro FX 5600

February 28, 2011 by hgpu

A general relativistic evolution code on CUDA architectures

Burkhard Zink

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Tags: Astrophysics, CUDA, Finite difference, Instrumentation and Methods for Astrophysics, nVidia, nVidia Quadro FX 5600

February 28, 2011 by hgpu

HORIZON: Accelerated General Relativistic Magnetohydrodynamics

Burkhard Zink

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Tags: Computational Physics, CUDA, General Relativity and Quantum Cosmology, GPU cluster, Gravitation, Instrumentation and Methods for Astrophysics, Magnetohydrodynamics, MPI, nVidia, nVidia GeForce GTX 580, Tesla C2070

February 28, 2011 by hgpu

Calculation by articificial compressibility method and virtual flux method on GPU

I. Tanno, K. Morinishi, N. Satofuka, Y. Watanabe

Tags: CUDA, Fluid dynamics, nVidia

February 28, 2011 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

Co-processor acceleration of an unmodified parallel solid mechanics code with FEASTGPU

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

Lattice-Boltzmann Simulation of the Shallow-Water Equations with Fluid-Structure Interaction on Multi- and Manycore Processors

A Simulation Suite for Lattice-Boltzmann based Real-Time CFD Applications Exploiting Multi-Level Parallelism on modern Multi- and Many-Core Architectures

Accelerating Molecular Dynamics Simulations with GPUs

Fast and Accurate Generalized Harmonic Analysis and Its Parallel Computation by GPU

A Case Study for Petascale Applications in Astrophysics: Simulating Gamma-Ray Bursts

A general relativistic evolution code on CUDA architectures

HORIZON: Accelerated General Relativistic Magnetohydrodynamics

Calculation by articificial compressibility method and virtual flux method on GPU

Recent source codes

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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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