high performance computing on graphics processing units: hgpu.org

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Real-time Visual Tracker by Stream Processing

Oscar Mateo Lozano, Kazuhiro Otsuka

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Tags: CMP, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Particle filtering, Video tracking

November 3, 2010 by hgpu

Parallel, stochastic measurement of molecular surface area

D. Juba, A. Varshney

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Tags: Chemistry, Computational chemistry, CUDA, Molecular modeling, Molecular surface, nVidia, nVidia GeForce 8800 GTX

November 3, 2010 by hgpu

Neural Network Implementation Using CUDA and OpenMP

Honghoon Jang, Anjin Park, Keechul Jung

Tags: Computer science, CUDA, Neural networks, nVidia, OpenMP

November 3, 2010 by hgpu

High-Precision Numerical Simulations of Rotating Black Holes Accelerated by CUDA

Rakesh Ginjupalli, Gaurav Khanna

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Tags: Astrophysics, Computational Physics, CUDA, General Relativity and Quantum Cosmology, nVidia, Physics, Tesla C1060

November 3, 2010 by hgpu

PAPER – Accelerating parallel evaluations of ROCS

Imran S. Haque, Vijay S. Pande

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Source codes

Tags: Chemistry, Computational chemistry, CUDA, Molecular overlay, nVidia, nVidia GeForce 8600 GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package, ROCS, Shape comparison

November 3, 2010 by hgpu

Real-time KD-tree construction on graphics hardware

Kun Zhou, Qiming Hou, Rui Wang, Baining Guo

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Tags: 3D Graphics and Realism, Computer science, CUDA, Image processing, KR-tree, nVidia, nVidia GeForce 8800 Ultra, Raytracing, Rendering

November 3, 2010 by hgpu

Optimal loop unrolling for GPGPU programs (thesis)

Giridhar S. Murthy

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, OpenCL, Review, Thesis

November 3, 2010 by hgpu

Optimal loop unrolling for GPGPU programs

Giridhar S. Murthy, Mahesh Ravishankar, Muthu M. Baskaran, P. Sadayappan

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, OpenCL, Review

November 3, 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

On modelling of anisotropic viscoelasticity for soft tissue simulation: numerical solution and GPU execution

Z. A. Taylor, O. Comas, M. Cheng, J. Passenger, D. J. Hawkes, D. Atkinson, S. Ourselin

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Tags: Anisotropy, CUDA, Finite element method, Medicine, Nonlinear analysis, nVidia GeForce 8800 GTX, Surgical simulation, Viscoelasticity

November 2, 2010 by hgpu

Accelerating Resolution-of-the-Identity Second-Order Moller-Plesset Quantum Chemistry Calculations with Graphical Processing Units

Leslie Vogt, Roberto Olivares-Amaya, Sean Kermes, Yihan Shao, Carlos Amador-Bedolla, Alan Aspuru-Guzik

Tags: Chemistry, Computational chemistry, CUBLAS, CUDA, Molecular modeling, nVidia, nVidia Quadro FX 5600

November 2, 2010 by hgpu

Real-time optical manipulation of micron sized structures using GPU generated holograms

S. Bianchi, R. Di Leonardo

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Tags: Computer holography, CUDA, Mesoscale and Nanoscale Physics, nVidia, nVidia GeForce GTX 260, Optical trapping, Physics, Soft Condensed Matter

November 2, 2010 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Real-time Visual Tracker by Stream Processing

Parallel, stochastic measurement of molecular surface area

Neural Network Implementation Using CUDA and OpenMP

High-Precision Numerical Simulations of Rotating Black Holes Accelerated by CUDA

PAPER – Accelerating parallel evaluations of ROCS

Real-time KD-tree construction on graphics hardware

Optimal loop unrolling for GPGPU programs (thesis)

Optimal loop unrolling for GPGPU programs

Molecular Dynamics Simulation of Macromolecules Using Graphics Processing Unit

On modelling of anisotropic viscoelasticity for soft tissue simulation: numerical solution and GPU execution

Accelerating Resolution-of-the-Identity Second-Order Moller-Plesset Quantum Chemistry Calculations with Graphical Processing Units

Real-time optical manipulation of micron sized structures using GPU generated holograms

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

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