high performance computing on graphics processing units: hgpu.org

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Revisiting sorting for GPGPU stream architectures

Duane G. Merrill, Andrew S. Grimshaw

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 9800 GT, nVidia GeForce 9800 GTX, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia Quadro FX 5600, Sorting

January 5, 2011 by hgpu

Fast GPU-based space-time correlation for activity recognition in video sequences

Mahsan Rofouei, Maryam Moazeni, Majid Sarrafzadeh

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia Quadro FX 5600

January 4, 2011 by hgpu

Towards Large-Scale Molecular Dynamics Simulations on Graphics Processors

Joseph E. Davis, Adnan Ozsoy, Sandeep Patel, Michela Taufer

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Tags: Biology, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, nVidia Quadro FX 5600

January 3, 2011 by hgpu

Scalable GPU rendering of CSG models

Fabiano Romeiro, Luiz Velho, Luiz Henrique de Figueiredo

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 7950 GT, nVidia GeForce FX 5200, nVidia Quadro FX 5600, OpenGL, Raytracing

December 29, 2010 by hgpu

Long time-scale simulations of in vivo diffusion using GPU hardware

Elijah Roberts, John E. Stone, Leonardo Sepulveda, Wen-Mei W. Hwu, Zaida Luthey-Schulten

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Tags: Bioinformatics, Biology, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5600

December 18, 2010 by hgpu

Exploring weak scalability for FEM calculations on a GPU-enhanced cluster

Dominik Goddeke, Robert Strzodka, Jamaludin Mohd-Yusof, Patrick McCormick, Sven H.M. Buijssen, Matthias Grajewski and Stefan Turek

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Tags: Computer science, Finite element method, GPU cluster, MPI, nVidia, nVidia Quadro FX 5600

December 16, 2010 by hgpu

OpenMP to GPGPU: a compiler framework for automatic translation and optimization

Seyong Lee, Seung-Jai Min, and Rudolf Eigenman

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia Quadro FX 5600, OpenMP, Programming techniques

December 15, 2010 by hgpu

An image-warping VR-architecture: design, implementation and applications

F. A. Smit, R. van Liere, B. Frohlich

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Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia GeForce 8800 GTX, nVidia Quadro FX 5600, OpenGL

December 12, 2010 by hgpu

Biomedical image analysis on a cooperative cluster of GPUs and multicores

Timothy D.R. Hartley, Umit Catalyurek, Antonio Ruiz, Francisco Igual, Rafael Mayo, Manuel Ujaldon

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

December 10, 2010 by hgpu

Fast Deformable Registration on the GPU: A CUDA Implementation of Demons

P. Muyan-Ozcelik, J. D. Owens, Junyi Xia, S. S. Samant

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Tags: Computed tomography, CT, CUDA, Image processing, Image registration, nVidia, nVidia Quadro FX 5600

December 8, 2010 by hgpu

Performance evaluation of image processing algorithms on the GPU

Daniel Castano-Diez, Dominik Moser, Andreas Schoenegger, Sabine Pruggnaller, Achilleas S S. Frangakis

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Tags: Biology, CUDA, Image processing, Medicine, nVidia, nVidia Quadro FX 5600, Pattern recognition, Tomography

December 7, 2010 by hgpu

A shared-scene-graph image-warping architecture for VR: Low latency versus image quality

Ferdi Smit, Robert van Liere, Stephan Beck, Bernd Froehlich

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Tags: 3D Graphics and Realism, Computer science, Image generation, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 260, nVidia Quadro FX 5600, OpenGL

November 28, 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

Revisiting sorting for GPGPU stream architectures

Fast GPU-based space-time correlation for activity recognition in video sequences

Towards Large-Scale Molecular Dynamics Simulations on Graphics Processors

Scalable GPU rendering of CSG models

Long time-scale simulations of in vivo diffusion using GPU hardware

Exploring weak scalability for FEM calculations on a GPU-enhanced cluster

OpenMP to GPGPU: a compiler framework for automatic translation and optimization

An image-warping VR-architecture: design, implementation and applications

Biomedical image analysis on a cooperative cluster of GPUs and multicores

Fast Deformable Registration on the GPU: A CUDA Implementation of Demons

Performance evaluation of image processing algorithms on the GPU

A shared-scene-graph image-warping architecture for VR: Low latency versus image quality

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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