high performance computing on graphics processing units: hgpu.org

hgpu.org » Condensed matter

Criticality of the XY model in complex topologies

Miguel Ibanez Berganza, Luca Leuzzi

View

Download (PDF)

Tags: Condensed matter, CUDA, Numerical simulation, nVidia, nVidia GeForce GTX 480, Physics, Statistical Mechanics

November 19, 2012 by hgpu

Accelerated molecular dynamics force evaluation on graphics processing units for thermal conductivity calculations

Zheyong Fan, Topi Siro, Ari Harju

View

Download (PDF)

Tags: Computational Physics, Condensed matter, CUDA, Materials Science, Molecular dynamics, nVidia, Physics, Tesla M2070

November 19, 2012 by hgpu

High-precision Monte Carlo study of the three-dimensional XY model on GPU

Ti-Yen Lan, Yun-Da Hsieh, Ying-Jer Kao

View

Download (PDF)

Tags: Condensed matter, CUDA, Monte Carlo simulation, nVidia, Physics, Statistical Mechanics, Tesla M2090

November 6, 2012 by hgpu

Large-scale Monte Carlo simulation of two-dimensional classical XY model using multiple GPUs

Yukihiro Komura, Yutaka Okabe

View

Download (PDF)

Tags: Algorithms, Condensed matter, CUDA, GPU cluster, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, Physics, Statistical Mechanics

October 24, 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

View

Download (PDF)

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

Dynamical heterogeneities as fingerprints of a backbone structure in Potts models

Ezequiel E. Ferrero, Federico Roma, Sebastian Bustingorry, Pablo M. Gleiser

View

Download (PDF)

Source codes

Tags: Condensed matter, CUDA, Monte Carlo simulation, Numerical simulation, nVidia, nVidia GeForce GTX 480, Package, Physics, Statistical Mechanics

September 12, 2012 by hgpu

High-precision molecular dynamics simulation of UO2-PuO2: Anion self-diffusion in UO2

S.I. Potashnikov, A.S. Boyarchenkov, K.A. Nekrasov, A.Ya. Kupryazhkin

View

Download (PDF)

Source codes

Tags: Condensed matter, CUDA, DirectCompute, HLSL, Materials Science, Molecular dynamics, nVidia, Package

June 21, 2012 by hgpu

Parallelizing Kernel Polynomial Method Applying Graphics Processing Units

Shixun Zhang, Shinichi Yamagiwa, Masahiko Okumura, Seiji Yunoki

View

Download (PDF)

Tags: Algorithms, Chemistry, Condensed matter, CUDA, nVidia, Physics, Tesla C2050

January 10, 2012 by hgpu

Thermal and Athermal Swarms of Self-Propelled Particles

Nguyen Nguyen, Eric Jankowski, Sharon C. Glotzer

View

Download (PDF)

Source codes

Tags: Computational Physics, Condensed matter, CUDA, nVidia, Package, Physics, Probability, Soft Condensed Matter, Tesla S1070

January 4, 2012 by hgpu

Superconducting proximity effect in graphene under inhomogeneous strain

Lucian Covaci, Francois Peeters

View

Download (PDF)

Tags: Condensed matter, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce GTX 580, Physics

November 22, 2011 by hgpu

VASP on a GPU: application to exact-exchange calculations of the stability of elemental boron

Maxwell Hutchinson, Michael Widom

View

Download (PDF)

Tags: Computational chemistry, Computational Physics, Condensed matter, CUDA, nVidia, Physics, Tesla C2050, Tesla C2075

November 4, 2011 by hgpu

Fast computation of scattering maps of nanostructures using graphical processing units

Vincent Favre-Nicolin, Johann Coraux, Marie-Ingrid Richard, Hubert Renevier

View

Download (PDF)

Source codes

Tags: Condensed matter, CUDA, Materials Science, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce GTX 295, Package, Python

November 1, 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

* * *

high performance computing on graphics processing units: hgpu.org

Criticality of the XY model in complex topologies

Accelerated molecular dynamics force evaluation on graphics processing units for thermal conductivity calculations

High-precision Monte Carlo study of the three-dimensional XY model on GPU

Large-scale Monte Carlo simulation of two-dimensional classical XY model using multiple GPUs

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

Dynamical heterogeneities as fingerprints of a backbone structure in Potts models

High-precision molecular dynamics simulation of UO2-PuO2: Anion self-diffusion in UO2

Parallelizing Kernel Polynomial Method Applying Graphics Processing Units

Thermal and Athermal Swarms of Self-Propelled Particles

Superconducting proximity effect in graphene under inhomogeneous strain

VASP on a GPU: application to exact-exchange calculations of the stability of elemental boron

Fast computation of scattering maps of nanostructures using graphical processing units

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

Most viewed papers (last 30 days)