high performance computing on graphics processing units: hgpu.org

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GPU phase-field lattice Boltzmann simulations of growth and motion of a binary alloy dendrite

T. Takaki, R. Rojas, M Ohno, T. Shimokawabe, T. Aoki

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Tags: Alloys, Condensed matter, CUDA, Lattice Boltzmann model, Materials Science, nVidia, Physics, Tesla K20

July 3, 2015 by hgpu

Microbranching in mode-I fracture using large scale simulations of amorphous and perturbed lattice models

Shay I. Heizler, David A. Kessler

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Tags: Condensed matter, CUDA, nVidia, Soft Condensed Matter, Statistical Mechanics, Tesla

April 1, 2015 by hgpu

Scaling behavior of topologically constrained polymer rings in a melt

Benjamin Trefz, Peter Virnau

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Tags: Condensed matter, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Soft Condensed Matter

December 16, 2014 by hgpu

Ageing at the Spin-Glass/Ferromagnet Transition: Monte Carlo Simulation using GPUs

Markus Manssen, Alexander K. Hartmann

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Tags: Condensed matter, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 570, Physics, Statistical Mechanics

November 25, 2014 by hgpu

Highly optimized simulations on single- and multi-GPU systems of 3D Ising spin glass

Matteo Lulli, Massimo Bernaschi, Giorgio Parisi

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Tags: Condensed matter, CUDA, Disordered Systems and Neural Networks, Ising model, MPI, nVidia, nVidia GeForce GTX Titan, Pseudo-random number generators

November 5, 2014 by hgpu

Stable large-scale solver for Ginzburg-Landau equations for superconductors

I. A. Sadovskyy, A. E. Koshelev, C. L. Phillips, D. A. Karpeev, A. Glatz

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Tags: Algorithms, Condensed matter, CUDA, Numerical simulation, nVidia, Tesla K20

October 3, 2014 by hgpu

Parallel kinetic Monte Carlo simulation of Coulomb glasses

Ezequiel E. Ferrero, Alejandro B. Kolton, Matteo Palassini

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Source codes

Tags: Algorithms, Condensed matter, CUDA, Disordered Systems and Neural Networks, Monte Carlo simulation, nVidia, nVidia GeForce GTX 470, Package, Tesla C2075, Tesla K20

July 24, 2014 by hgpu

Anomalous metastability in a temperature-driven transition

Miguel Ibanez Berganza, Pietro Coletti, Alberto Petri

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Tags: Algorithms, Condensed matter, CUDA, Ising model, nVidia, Phase transition, Physics, Statistical Mechanics, Tesla K20

April 4, 2014 by hgpu

Fast quantum Monte Carlo on a GPU

Y. Lutsyshyn

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Tags: Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 560, Physics, Tesla K20, Tesla M2090

December 6, 2013 by hgpu

Parallel Tempering Simulation of the three-dimensional Edwards-Anderson Model with Compact Asynchronous Multispin Coding on GPU

Ye Fang, Sheng Feng, Ka-Ming Tam, Zhifeng Yun, Juana Moreno, J. Ramanujam, Mark Jarrell

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Tags: Condensed matter, CUDA, Disordered Systems and Neural Networks, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, Physics

November 25, 2013 by hgpu

Potential Energy Landscapes for the 2D XY Model: Minima, Transition States and Pathways

Dhagash Mehta, Ciaran Hughes, Mario Schrock, David J. Wales

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Tags: Condensed matter, CUDA, nVidia, Physics, Statistical Mechanics, Tesla C2070

November 25, 2013 by hgpu

Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing

William R. French, Amulya K. Pervaje, Andrew P. Santos, Christopher R. Iacovella, Peter T. Cummings

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Tags: Condensed matter, CUDA, Mesoscale and Nanoscale Physics, Molecular dynamics, nVidia, nVidia GeForce GTX 680, OpenMPI, Physics, Tesla M2090

November 18, 2013 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 phase-field lattice Boltzmann simulations of growth and motion of a binary alloy dendrite

Microbranching in mode-I fracture using large scale simulations of amorphous and perturbed lattice models

Scaling behavior of topologically constrained polymer rings in a melt

Ageing at the Spin-Glass/Ferromagnet Transition: Monte Carlo Simulation using GPUs

Highly optimized simulations on single- and multi-GPU systems of 3D Ising spin glass

Stable large-scale solver for Ginzburg-Landau equations for superconductors

Parallel kinetic Monte Carlo simulation of Coulomb glasses

Anomalous metastability in a temperature-driven transition

Fast quantum Monte Carlo on a GPU

Parallel Tempering Simulation of the three-dimensional Edwards-Anderson Model with Compact Asynchronous Multispin Coding on GPU

Potential Energy Landscapes for the 2D XY Model: Minima, Transition States and Pathways

Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing

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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