high performance computing on graphics processing units: hgpu.org

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Tensor Voting Accelerated by Graphics Processing Units (GPU)

Changki Min, Gerard G. Medioni

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Tags: Cg, Computer vision, Image processing, nVidia, nVidia GeForce 7800 GTX, Pattern recognition

December 28, 2010 by hgpu

Visual-model-based, real-time 3D pose tracking for autonomous navigation: methodology and experiments

Hans de Ruiter, Beno Benhabib

Tags: Artificial intelligence, Computer science, Computer vision, Pattern recognition, Video tracking

December 13, 2010 by hgpu

On the Relation between Anisotropic Diffusion and Iterated Adaptive Filtering

Michael Felsberg

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Tags: Diffusion equation, DirectX, Pattern recognition, Signal processing

December 12, 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

GPU-MEME: Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences

Chen Chen, Bertil Schmidt, Liu Weiguo, Wolfgang Muller-Wittig

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Source codes

Tags: Bioinformatics, Biology, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, Pattern recognition

December 6, 2010 by hgpu

Hierarchical clustering of gene expression profiles with graphics hardware acceleration

Q. Zhang, Y. Zhang

Tags: Biology, Genetics, Pattern recognition

December 4, 2010 by hgpu

Unsupervised Markovian Segmentation on Graphics Hardware

Pierre-Marc Jodoin, Jean-Francois St-Amour, Max Mignotte

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Tags: Cg, Image processing, nVidia, nVidia GeForce 6800 GT, Pattern recognition

November 30, 2010 by hgpu

CUDA-MEME: Accelerating Motif Discovery in Biological Sequences Using CUDA-enabled Graphics Processing Units

Yongchao Liu, Bertil Schmidt, Weiguo Liu, Douglas L. Maskell

Tags: Biology, CUDA, nVidia, nVidia GeForce GTX 280, Pattern recognition

November 27, 2010 by hgpu

GPUs for fast pattern matching in the RICH of the NA62 experiment

Gianluca Lamanna, Gianmaria Collazuol, Marco Sozzi

Tags: Data acquisition, Pattern recognition, Physics

November 20, 2010 by hgpu

Fully automatic extraction of salient objects from videos in near real-time

Akamine Kazuma, Ken Fukuchi, Akisato Kimura, Shigeru Takagi

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 9800 GT, Pattern recognition

November 10, 2010 by hgpu

Using GPUs for Machine Learning Algorithms

Dave Steinkrau, Patrice Y. Simard, Ian Buck

Tags: Computer science, Neural networks, Pattern recognition

November 5, 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

Tensor Voting Accelerated by Graphics Processing Units (GPU)

Visual-model-based, real-time 3D pose tracking for autonomous navigation: methodology and experiments

On the Relation between Anisotropic Diffusion and Iterated Adaptive Filtering

Performance evaluation of image processing algorithms on the GPU

GPU-MEME: Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences

Hierarchical clustering of gene expression profiles with graphics hardware acceleration

Unsupervised Markovian Segmentation on Graphics Hardware

CUDA-MEME: Accelerating Motif Discovery in Biological Sequences Using CUDA-enabled Graphics Processing Units

GPUs for fast pattern matching in the RICH of the NA62 experiment

Fully automatic extraction of salient objects from videos in near real-time

Using GPUs for Machine Learning Algorithms

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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