high performance computing on graphics processing units: hgpu.org

Applications

Large-Scale DNS of Gas-Solid Flow on Mole-8.5

Qingang Xiong, Guofeng Zhou, Bo Li, Ji Xua, Xiaojian Fang, Junwu Wang, Xianfeng He, Xiaowei Wang, Limin Wang, Wei Ge, Jinghai Li

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Physics, Tesla C2050

November 12, 2010 by hgpu

Improved automated lattice perturbation theory in background field gauge

T.C. Hammant, R.R. Horgan, C.J. Monahan, A.G. Hart, E.H. Muller, A. Gray, K. Sivalingham, G.M. von Hippel

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, QCD, Tesla C2050

November 12, 2010 by hgpu

Simulation of reaction-diffusion processes in three dimensions using CUDA

Ferenc Molnar Jr., Ferenc Izsak, Robert Meszaros, Istvan Lagzi

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Source codes

Tags: Computational Physics, CUDA, Diffusion equation, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 275, Pattern formation, Physics

November 11, 2010 by hgpu

High-performance astrophysical visualization using Splotch

Zhefan Jin, Mel Krokos, Marzia Rivi, Claudio Gheller, Klaus Dolag, Martin Reinecke

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

November 11, 2010 by hgpu

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison

Bijia Pang, Ue-li Pen, Michael Perrone

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Tags: Astrophysics, ATI, ATI Radeon HD 5870, Cell processor, Computational Physics, CUDA, Electrodynamics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 260, OpenCL, OpenMP, Performance

November 11, 2010 by hgpu

CUDA simulations of active dumbbell suspensions

Victor Putz, Jorn Dunkel, Julia M. Yeomans

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Tags: Condensed matter, CUDA, nVidia, nVidia GeForce GTX 295, Physics, Soft Condensed Matter, Tesla C1060

November 11, 2010 by hgpu

Reionization simulations powered by GPUs I: the structure of the Ultraviolet radiation field

Dominique Aubert, Romain Teyssier

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Tags: Astrophysics, Computational Physics, Cosmology and Extragalactic Astrophysics, CUDA, GPU cluster, MPI, nVidia, Tesla C1060

November 11, 2010 by hgpu

Ultra-fast treatment plan optimization for volumetric modulated arc therapy (VMAT)

Chunhua Men, H. Edwin Romeijn, Xun Jia, Steve B. Jiang

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Tags: CUDA, Medical Physics, Medicine, nVidia, Physics, Tesla C1060

November 11, 2010 by hgpu

MYRIAD: A new N-body code for simulations of Star Clusters

Simos Konstantinidis, Kostas D. Kokkotas

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Tags: Astrophysics, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Package, Tesla C1060

November 11, 2010 by hgpu

Toward large-scale Hybrid Monte Carlo simulations of the Hubbard model on graphics processing units

Kyle A. Wendt, Joaquin E. Drut, Timo A. Lahde

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Tags: Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, Physics, Statistical Mechanics, Tesla C1060

November 11, 2010 by hgpu

QYMSYM: A GPU-Accelerated Hybrid Symplectic Integrator That Permits Close Encounters

Alexander Moore, Alice C. Quillen

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Tags: Astrophysics, Celestial mechanics, CUDA, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package

November 10, 2010 by hgpu

Interactive Visualization of the Largest Radioastronomy Cubes

A.H. Hassan, C.J. Fluke, D.G. Barnes

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, nVidia, nVidia GeForce GTX 285

November 10, 2010 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Large-Scale DNS of Gas-Solid Flow on Mole-8.5

Improved automated lattice perturbation theory in background field gauge

Simulation of reaction-diffusion processes in three dimensions using CUDA

High-performance astrophysical visualization using Splotch

Magnetohydrodynamics on Heterogeneous architectures: a performance comparison

CUDA simulations of active dumbbell suspensions

Reionization simulations powered by GPUs I: the structure of the Ultraviolet radiation field

Ultra-fast treatment plan optimization for volumetric modulated arc therapy (VMAT)

MYRIAD: A new N-body code for simulations of Star Clusters

Toward large-scale Hybrid Monte Carlo simulations of the Hubbard model on graphics processing units

QYMSYM: A GPU-Accelerated Hybrid Symplectic Integrator That Permits Close Encounters

Interactive Visualization of the Largest Radioastronomy Cubes

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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