high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia

TWQCD’s dynamical DWF project

Ting-Wai Chiu, Tian-Shin Guu, Tung-Han Hsieh, Chao-Hsi Huang, Yu-Ying Lee, Yao-Yuan Mao, Kenji Ogawa, Po-Kai Tseng

View

Download (PDF)

Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, MPI, nVidia, OpenMP, Physics, QCD, Tesla S1070

November 13, 2010 by hgpu

Enhanced molecular dynamics performance with a programmable graphics processor

D. C. Rapaport

View

Download (PDF)

Tags: Chemistry, Computational chemistry, Computational Physics, CUDA, Molecular dynamics, nVidia, nVidia Quadro FX 770 M, Physics

November 13, 2010 by hgpu

CUDAEASY – a GPU Accelerated Cosmological Lattice Program

Jani Sainio

View

Download (PDF)

Source codes

Tags: Astrophysics, Computational Physics, Cosmology and Extragalactic Astrophysics, CUDA, High Energy Physics - Phenomenology, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 260, Package

November 13, 2010 by hgpu

The role of multigrid algorithms for LQCD

Ronald Babich, James Brannick, Richard C. Brower, Michael A. Clark, Saul D. Cohen, James C. Osborn, Claudio Rebbi

View

Download (PDF)

Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, Physics, QCD

November 13, 2010 by hgpu

QCD on GPUs: cost effective supercomputing

M. A. Clark

View

Download (PDF)

Tags: High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, QCD, Review

November 13, 2010 by hgpu

Air pollution modelling using a graphics processing unit with CUDA

Ferenc Molnar Jr., Tamas Szakaly, Robert Meszaros, Istvan Lagzi

View

Download (PDF)

Source codes

Tags: Computational Physics, CUDA, Earth and Space Sciences, Medical Physics, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX, Package, Physics

November 13, 2010 by hgpu

GPU-based Fast Low-dose Cone Beam CT Reconstruction via Total Variation

Xun Jia, Yifei Lou, John Lewis, Ruijiang Li, Xuejun Gu, Chunhua Men, William Y. Song, Steve B. Jiang

View

Download (PDF)

Tags: Computed tomography, CT, CUDA, Image reconstruction, Medical Physics, nVidia, Physics, Tesla C1060

November 13, 2010 by hgpu

Tiling for Performance Tuning on Different Models of GPUs

Chang Xu, Steven R. Kirk, Samantha Jenkins

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 260, Performance

November 13, 2010 by hgpu

Advanced Architectures for Astrophysical Supercomputing

Benjamin R. Barsdell, David G. Barnes, Christopher J. Fluke

View

Download (PDF)

Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia

November 12, 2010 by hgpu

RapidMind: Portability across Architectures and its Limitations

Iris Christadler, Volker Weinberg

View

Download (PDF)

Tags: Cell processor, Computer science, CUDA, nVidia, Performance, Programming Languages, Tesla C1060, Tesla S1070

November 12, 2010 by hgpu

GPU-Based Volume Rendering of Noisy Multi-Spectral Astronomical Data

Amr H. Hassan, Christopher J. Fluke, David G. Barnes

View

Download (PDF)

Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, MPI, nVidia

November 12, 2010 by hgpu

Real-time digital holographic microscopy observable in multi-view and multi-resolution

Tomoyoshi Shimobaba, Nobuyuki Masuda, Yasuyuki Ichihashi, Tomoyoshi Ito

View

Download (PDF)

Source codes

Tags: Biological Physics, Computational Physics, Computer holography, CUDA, nVidia, nVidia GeForce GTX 295, Optics, Package, Physics

November 12, 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

TWQCD’s dynamical DWF project

Enhanced molecular dynamics performance with a programmable graphics processor

CUDAEASY – a GPU Accelerated Cosmological Lattice Program

The role of multigrid algorithms for LQCD

QCD on GPUs: cost effective supercomputing

Air pollution modelling using a graphics processing unit with CUDA

GPU-based Fast Low-dose Cone Beam CT Reconstruction via Total Variation

Tiling for Performance Tuning on Different Models of GPUs

Advanced Architectures for Astrophysical Supercomputing

RapidMind: Portability across Architectures and its Limitations

GPU-Based Volume Rendering of Noisy Multi-Spectral Astronomical Data

Real-time digital holographic microscopy observable in multi-view and multi-resolution

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

Most viewed papers (last 30 days)