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

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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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

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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