high performance computing on graphics processing units: hgpu.org

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Non-symmetric magnetohydrostatic equilibria: a multigrid approach

D. MacTaggart, A. Elsheikh, J. A. McLaughlin, R. D. Simitev

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Tags: Astrophysics, CUDA, Differential equations, Electrodynamics, Finite difference, Magnetohydrodynamics, nVidia, Partial differential equations, PDEs

May 8, 2013 by hgpu

Time-stepping methods for the simulation of the self-assembly of nano-crystals in Matlab on a GPU

M. D. Korzec, T. Ahnert

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Tags: CUDA, Differential equations, Mathematics, Numerical simulation, nVidia, nVidia GeForce GTX 260, Partial differential equations, PDEs, Spectral methods

March 20, 2013 by hgpu

Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs

Eike Mueller, Xu Guo, Robert Scheichl, Sinan Shi

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, Differential equations, Numerical Analysis, nVidia, Partial differential equations, PDEs, Tesla M2090

March 2, 2013 by hgpu

CUDACLAW: a Data Parallel Solution Framework for Hyperbolic PDEs

Hrag Gorune Krikor Ohannessian

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Tags: Acoustics, CUDA, Differential equations, Finite volume method, Hyperbolic PDEs, Mathematics, nVidia, nVidia GeForce GTX 460, Partial differential equations, PDEs, Tesla C2050, Wave equation

December 12, 2012 by hgpu

GPU accelerating the FEniCS Project

Fredrik Heffer Valdmanis

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Tags: Computer science, CUDA, Differential equations, Linear Algebra, nVidia, Partial differential equations, PDEs, Tesla C2070, Thesis

December 8, 2012 by hgpu

Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms

Bruno Gouvea de Barros, Rafael Sachetto Oliveira, Wagner Meira Jr., Marcelo Lobosco, Rodrigo Weber dos Santos

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Tags: Cluster computing, CUDA, Heterogeneous systems, Medicine, nVidia, ODEs, Ordinary differential equations, Partial differential equations, PDEs, Tesla C1060

December 3, 2012 by hgpu

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

Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing

Charis Harley

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Tags: Algorithms, CUDA, Differential equations, Mathematics, Numerical simulation, nVidia, Partial differential equations, PDEs

November 1, 2012 by hgpu

Exploiting Limited Access Distance of ODE Systems for Parallelism and Locality in Explicit Methods

Matthias Korch

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Tags: Computer science, Differential equations, nVidia, nVidia GeForce GTX 580, ODEs, OpenCL, Ordinary differential equations, Partial differential equations, PDEs

October 2, 2012 by hgpu

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Sarah Amalie King

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Tags: Algorithms, CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GT 640 M, Optimization, Partial differential equations, PDEs, Tesla C2050, Thesis

September 7, 2012 by hgpu

Numerical Study of Geometric Multigrid Methods on CPU–GPU Heterogeneous Computers

Chunsheng Feng, Shi Shu, Jinchao Xu, Chen-Song Zhang

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Tags: Computational Physics, CUDA, Differential equations, FFT, Heterogeneous systems, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 480, Partial differential equations, PDEs, Poisson equation

August 22, 2012 by hgpu

Development of a GPU-accelerated MIKE 21 Solver for Water Wave Dynamics

Peter Edward Aackermann, Peter J. Dinesen Pedersen

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Tags: Algorithms, CUDA, Differential equations, Fluid dynamics, nVidia, nVidia GeForce GTX 590, Partial differential equations, PDEs, Thesis

August 10, 2012 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

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high performance computing on graphics processing units: hgpu.org

Non-symmetric magnetohydrostatic equilibria: a multigrid approach

Time-stepping methods for the simulation of the self-assembly of nano-crystals in Matlab on a GPU

Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs

CUDACLAW: a Data Parallel Solution Framework for Hyperbolic PDEs

GPU accelerating the FEniCS Project

Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms

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

Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing

Exploiting Limited Access Distance of ODE Systems for Parallelism and Locality in Explicit Methods

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Numerical Study of Geometric Multigrid Methods on CPU–GPU Heterogeneous Computers

Development of a GPU-accelerated MIKE 21 Solver for Water Wave Dynamics

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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