high performance computing on graphics processing units: hgpu.org

hgpu.org » Image processing

Color Seamlessness in Multi-Projector Displays Using Constrained Gamut Morphing

Behzad Sajadi, Maxim Lazarov, M. Gopi, Aditi Majumder

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Tags: Algorithms, Image processing, Visualization

July 17, 2011 by hgpu

Using Graphics Processor Units (GPUs) for Automatic Video Structuring

Peter Kehoe, Alan F. Smeaton

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Tags: Algorithms, Cg, Image processing, nVidia, nVidia GeForce 7800 GT, OpenGL

July 17, 2011 by hgpu

Speedup of Fuzzy Clustering Through Stream Processing on Graphics Processing Units

Derek T. Anderson, Robert H. Luke, James M. Keller

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Tags: Cg, Clustering, Image processing, nVidia, nVidia GeForce 7800 GS, nVidia GeForce 8800 GTX, nVidia GeForce FX 5900 Ultra, nVidia Quadro FX 2500 M

July 17, 2011 by hgpu

Parallel implementation of endmember extraction algorithms using NVidia graphical processing units

Antonio Plaza, Javier Plaza, Sergio Sanchez

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Sensing, Spectral methods

July 17, 2011 by hgpu

Uniform partitioning of Monte Carlo radiosity on GPUs

J. R. Sanjurjo, M. Amor, E. J. Padron, R. Doallo, M. Boo

Tags: Algorithms, CUDA, Image processing, nVidia

July 16, 2011 by hgpu

Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

Dimitris Bouris, Antonis Nikitakis, Ioannis Papaefstathiou

Tags: Computer vision, FPGA, Image processing

July 14, 2011 by hgpu

Many-core parallel computing – Can compilers and tools do the heavy lifting?

W.-m.W. Hwu

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Tags: Compilers, Computer science, CUDA, Image processing, nVidia, Presentation, Review

July 10, 2011 by hgpu

Implementation of usual computerized tomography methods on GPU using the Compute Unified Device Architecture (CUDA)

Benoit Recur, Pascal Desbarats, Jean-Philippe Domenger

Tags: CUDA, Image processing, Medicine, nVidia, Tomography

July 9, 2011 by hgpu

Utilization of GPU for real-time vision in robotics

Tomasz Kornuta, Mateusz Pruchniak

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Tags: Algorithms, Computer vision, Image processing, nVidia, nVidia GeForce GTX 275, OpenCL

July 9, 2011 by hgpu

Frameworks for GPU Accelerators: A comprehensive evaluation using 2D/3D image registration

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: CUDA, Image processing, Image registration, nVidia, nVidia Quadro FX 5800, OpenCL, Performance, RapidMind, Tesla C2050

July 9, 2011 by hgpu

Accelerated video encoding using render context information

Philipp Fechteler, Peter Eisert

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Tags: DirectX, H.264/AVC, Image processing, OpenGL, Rendering, Video encoding

July 8, 2011 by hgpu

High Performance Remote Sensing Image Processing Using CUDA

Xiaoshu Si, Hong Zheng

Tags: CUDA, Image processing, nVidia, Sensing

July 8, 2011 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

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high performance computing on graphics processing units: hgpu.org

Color Seamlessness in Multi-Projector Displays Using Constrained Gamut Morphing

Using Graphics Processor Units (GPUs) for Automatic Video Structuring

Speedup of Fuzzy Clustering Through Stream Processing on Graphics Processing Units

Parallel implementation of endmember extraction algorithms using NVidia graphical processing units

Uniform partitioning of Monte Carlo radiosity on GPUs

Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

Many-core parallel computing – Can compilers and tools do the heavy lifting?

Implementation of usual computerized tomography methods on GPU using the Compute Unified Device Architecture (CUDA)

Utilization of GPU for real-time vision in robotics

Frameworks for GPU Accelerators: A comprehensive evaluation using 2D/3D image registration

Accelerated video encoding using render context information

High Performance Remote Sensing Image Processing Using CUDA

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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

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