high performance computing on graphics processing units: hgpu.org

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Decoupled Access/Execute Metaprogramming for GPU-Accelerated Systems

Lee Howes, Anton Lokhmotov, Paul H.J. Kelly, Alastair F. Donaldson

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Tags: CUDA, Filtering, Image processing, nVidia, nVidia GeForce GTX 280, OpenCL

February 19, 2011 by hgpu

Accelerating Image Feature Comparisons using CUDA on Commodity Hardware

Seth Warn, Wesley Emeneker, John Gauch, Jackson Cothren, Amy Apon

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Tags: CUDA, GPU cluster, Image processing, Image registration, nVidia, nVidia GeForce GTX 295, OpenMP

February 18, 2011 by hgpu

Tetrahedral Interpolation for Deformable Image Registration on GPUs

Cedomir Segulja, Tianyi David Han, Tarek S. Abdelrahman, Kristy Brock, Joanne Moseley

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Tags: CUDA, Image processing, Image registration, nVidia, nVidia GeForce GTX 480

February 18, 2011 by hgpu

A meshless hierarchical representation for light transport

Jaakko Lehtinen, Matthias Zwicker, Emmanuel Turquin, Janne Kontkanen, Fredo Durand, Francois Sillion, and Timo Aila

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce 8800 Ultra, Rendering

February 12, 2011 by hgpu

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Juergen Schmidhuber

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Tags: Artificial intelligence, CUDA, Image processing, Image recognition, Neural and Evolutionary Computing, Neural networks, nVidia, nVidia GeForce GTX 280

February 9, 2011 by hgpu

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

Dan C. Ciresan, Ueli Meier, Luca M. Gambardella, Jurgen Schmidhuber

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Tags: Artificial intelligence, CUDA, Image processing, Image recognition, Neural and Evolutionary Computing, Neural networks, nVidia

February 9, 2011 by hgpu

Real-time GPU color-based segmentation of football players

Miguel Angel Montanes Laborda, Enrique F. Torres Moreno, Jesus Martinez del Rincon and Jose Elias Herrero Jaraba

Tags: CUDA, Image processing, Image recognition, nVidia

February 9, 2011 by hgpu

Towards On-Line Digital Doubles

Andreas Griesser, Nico Cornelis, Luc J. Van Gool

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Tags: Computer vision, Image processing, nVidia, nVidia GeForce 6800 GT, Shaders

February 8, 2011 by hgpu

GPU-accelerated surface denoising and morphing with lattice Boltzmann scheme

Ye Zhao

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Tags: Filtering, Image processing, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX, OpenGL

February 6, 2011 by hgpu

Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms

Grand Roman Joldes, Adam Wittek, Mathieu Couton, Simon K. Warfield and Karol Miller

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Tags: CUDA, Finite element method, Image processing, Image registration, Medicine, MRI, nVidia

February 5, 2011 by hgpu

Accelerating total variation regularization for matrix-valued images on GPUs

Maryam Moazeni, Alex A. T. Bui, Majid Sarrafzadeh

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 5600

February 4, 2011 by hgpu

3I: A tool for visualizing and processing in parallel 2D & 3D images

Juan P.D'Amato, Maria V.Cifuentes, Pablo Lotito

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Tags: 3D Graphics and Realism, CUDA, Image processing, nVidia, nVidia GeForce GTX 285

February 3, 2011 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

Decoupled Access/Execute Metaprogramming for GPU-Accelerated Systems

Accelerating Image Feature Comparisons using CUDA on Commodity Hardware

Tetrahedral Interpolation for Deformable Image Registration on GPUs

A meshless hierarchical representation for light transport

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

Real-time GPU color-based segmentation of football players

Towards On-Line Digital Doubles

GPU-accelerated surface denoising and morphing with lattice Boltzmann scheme

Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms

Accelerating total variation regularization for matrix-valued images on GPUs

3I: A tool for visualizing and processing in parallel 2D & 3D images

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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