high performance computing on graphics processing units: hgpu.org

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Neural network modeling on evolution of hydration reaction for Portland cement

Lin Wang, Bo Yang, Yuehui Chen, Xiuyang Zhao, Jun Chang, Haiyang Wang

Tags: Chemistry, Materials Science, Neural networks, Physics

June 20, 2011 by hgpu

Towards real-time tomography: Fast reconstruction algorithms and GPU implementation

Federica Marone, Christoph Hintermuller, Roman Geus, Marco Stampanoni

Tags: FFT, Image reconstruction, Materials Science, Medicine, Tomography

May 12, 2011 by hgpu

A GPU-based architecture for real-time data assessment at synchrotron experiments

Suren Chilingaryan, Alessandro Mirone, Andrew Hammersley,Claudio Ferrero, Lukas Helfen, Andreas Kopmann, Tomy dos Santos Rolo

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Tags: Biology, Image reconstruction, Materials Science, Medicine, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Poster, Tomography

May 8, 2011 by hgpu

Anomalous Structure and Scaling of Ring Polymer Brushes

Daniel Reith, Andrey Milchev, Peter Virnau, Kurt Binder

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Tags: Condensed matter, Materials Science, nVidia, nVidia GeForce GTX 480, Physics, Soft Condensed Matter, Statistical Mechanics

April 29, 2011 by hgpu

General-purpose molecular dynamics simulations on GPU-based clusters

Christian R. Trott, Lars Winterfeld, Paul S. Crozier

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Tags: Computational Physics, Condensed matter, CUDA, GPU cluster, Materials Science, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Performance, Physics, Tesla C1060, Tesla S1070

March 8, 2011 by hgpu

MuMax: a new high-performance micromagnetic simulation tool

Arne Vansteenkiste, Ben Van de Wiele

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Tags: Computational Physics, CUDA, Materials Science, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce GTX 580, Package, Physics

February 16, 2011 by hgpu

Fast computing of scattering maps of nanostructures using graphical processing units

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

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

February 11, 2011 by hgpu

High-precision molecular dynamics simulation of UO2-PuO2: superionic transition in uranium dioxide

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

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

February 9, 2011 by hgpu

High-precision molecular dynamics simulation of UO2-PuO2: pair potentials comparison

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

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

February 9, 2011 by hgpu

Density Functional Theory calculation on many-cores hybrid CPU-GPU architectures

Luigi Genovese, Matthieu Ospici, Thierry Deutsch, Jean-Francois Mehaut, Alexey Neelov, Stefan Goedecker

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Tags: Computational Physics, Condensed matter, CUDA, Materials Science, nVidia, Physics, Tesla S1070

November 13, 2010 by hgpu

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

Christian Trott, Lars Winterfeld

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November 9, 2010 by hgpu

Molecular Dynamics Simulation of Macromolecules Using Graphics Processing Unit

Ji Xu, Ying Ren, Wei Ge, Xiang Yu, Xiaozhen Yang, Jinghai Li

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Tags: CUDA, Macromolecule, Materials Science, Molecular dynamics, nVidia, nVidia GeForce GT 200, Soft Condensed Matter

November 3, 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

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high performance computing on graphics processing units: hgpu.org

Neural network modeling on evolution of hydration reaction for Portland cement

Towards real-time tomography: Fast reconstruction algorithms and GPU implementation

A GPU-based architecture for real-time data assessment at synchrotron experiments

Anomalous Structure and Scaling of Ring Polymer Brushes

General-purpose molecular dynamics simulations on GPU-based clusters

MuMax: a new high-performance micromagnetic simulation tool

Fast computing of scattering maps of nanostructures using graphical processing units

High-precision molecular dynamics simulation of UO2-PuO2: superionic transition in uranium dioxide

High-precision molecular dynamics simulation of UO2-PuO2: pair potentials comparison

Density Functional Theory calculation on many-cores hybrid CPU-GPU architectures

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

Molecular Dynamics Simulation of Macromolecules Using Graphics Processing Unit

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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