high performance computing on graphics processing units: hgpu.org

hgpu.org » Computational Physics

Parallel Implementation of the Heisenberg Model Using Monte Carlo on GPGPU

Alessandra Campos, J. Pecanha, Patricia Pampanelli, Rafael de Almeida, Marcelo Lobosco, Marcelo Vieira, Socrates de O. Dantas

Tags: Computational Physics, Heisenberg model, Mesoscale and Nanoscale Physics, Monte Carlo simulation, Physics

July 22, 2011 by hgpu

Massively parallelized replica-exchange simulations of polymers on GPUs

Jonathan Gross, Wolfhard Janke, Michael Bachmann

View

Download (PDF)

Tags: Biomolecules, Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Physics, Polymer Systems, Tesla C1060

July 19, 2011 by hgpu

Computing trends using graphic processor in high energy physics

Mihai Niculescu, Sorin-Ion Zgura

View

Download (PDF)

Tags: Computational Physics, High Energy Physics - Experiment, Overview, Physics

July 1, 2011 by hgpu

QCD simulations with staggered fermions on GPUs

C. Bonati, G. Cossu, M. D'Elia, P. Incardona

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GT 430, OpenCL, Physics, Tesla C1060, Tesla C2050, Tesla C2070

June 29, 2011 by hgpu

Petascale turbulence simulation using a highly parallel fast multipole method

Rio Yokota, Tetsu Narumi, L. A. Barba, Kenji Yasuoka

View

Download (PDF)

Tags: Computational Physics, CUDA, Fast multipole method, Fluid dynamics, Numerical Analysis, nVidia, Tesla M2050

June 28, 2011 by hgpu

Connected component identification and cluster update on GPU

Martin Weigel

View

Download (PDF)

Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Statistical Mechanics, Tesla M2070

May 31, 2011 by hgpu

Performance Acceleration of Kernel Polynomial Method Applying Graphics Processing Units

Shixun Zhang, Shinichi Yamagiwa, Masahiko Okumura, Seiji Yunoki

View

Download (PDF)

Tags: Computational Physics, Condensed matter, CUDA, nVidia, Performance, Physics, Tesla C2050

May 30, 2011 by hgpu

Optimizing Sweep3D for Graphic Processor Unit

Chunye Gong, Jie Liu, Zhenghu Gong, Jin Qin, Jing Xie

View

Download (PDF)

Tags: Boltzmann equation, Computational Physics, CUDA, nVidia, Physics, Tesla S1070

May 25, 2011 by hgpu

GPU-Based Parallel Computing: A New Computational Approach and its Applications to Nuclear Engineering

Kai Huang, Volodymyr Kindratenko, Rizwan-uddin

View

Download (PDF)

Tags: Computational Physics, CUDA, nVidia, nVidia Quadro FX 5600, Physics

May 25, 2011 by hgpu

Accelerating the Sweep3D for a Graphic Processor Unit

Chunye Gong, Jie Liu, Haitao Chen, Jing Xie, Zhenghu Gong

View

Download (PDF)

Tags: Boltzmann equation, Computational Physics, CUDA, nVidia, Physics, Tesla S1070

May 25, 2011 by hgpu

Accelerating QDP++ using GPUs

Frank Winter

View

Download (PDF)

Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, Physics, Programming Languages, QCD

May 12, 2011 by hgpu

GPU accelerated simulations of 3D deterministic particle transport using discrete ordinates method

Chunye Gong, Jie Liu, Lihua Chi, Haowei Huang, Jingyue Fang, Zhenghu Gong

Tags: Boltzmann equation, Computational Physics, CUDA, nVidia, Physics, Tesla M2050

April 22, 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

Parallel Implementation of the Heisenberg Model Using Monte Carlo on GPGPU

Massively parallelized replica-exchange simulations of polymers on GPUs

Computing trends using graphic processor in high energy physics

QCD simulations with staggered fermions on GPUs

Petascale turbulence simulation using a highly parallel fast multipole method

Connected component identification and cluster update on GPU

Performance Acceleration of Kernel Polynomial Method Applying Graphics Processing Units

Optimizing Sweep3D for Graphic Processor Unit

GPU-Based Parallel Computing: A New Computational Approach and its Applications to Nuclear Engineering

Accelerating the Sweep3D for a Graphic Processor Unit

Accelerating QDP++ using GPUs

GPU accelerated simulations of 3D deterministic particle transport using discrete ordinates method

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)