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hgpu.org » Applications » Image and Signal Processing » Image processing

Fast Morphological Image Processing on GPU using CUDA

Mugdha A. Rane

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

August 7, 2013 by hgpu

An Ultra-Fast, Optimized and Massively-Parallelized Curvelet Transform Algorithm on GP-GPUs

Mohammad Motamedi, Sima Sobhieh, S. Ahmad Motamedi, Amir Hossein Rezaie

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 210

August 5, 2013 by hgpu

Matrix Convolution using Parallel Programming

Anirud Pande, Rohit Chandna

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Tags: Image processing, MPI, OpenCL

August 1, 2013 by hgpu

Image Processing with CUDA

Jia Jun Tse

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 260, Thesis

July 30, 2013 by hgpu

Implementation of 2-D Discrete Cosine Transform Algorithm on GPU

Shivang Ghetia, Nagendra Gajjar, Ruchi Gajjar

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, Tesla C2075

July 27, 2013 by hgpu

Fast Image Processing with Embedded Microprocessors

Guillermo Jesus Rafael Hernandez Gallegos

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Tags: Image processing, OpenCV, OpenGL, Thesis

July 27, 2013 by hgpu

Parallel Implementation of Texture Based Image Retrieval on The GPU

Hadis Heidari, Abdolah Chalechale, Alireza Ahmadi Mohammadabadi

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 610 M

July 24, 2013 by hgpu

Image reconstruction in digital holographic microscopy on GPU

Andrej Krejcir

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Tags: Algorithms, CUDA, Image processing, Image reconstruction, Microscopy, nVidia, nVidia GeForce GTX 470, Optimization, Package, Thesis

July 21, 2013 by hgpu

Real Time Pixel Art Remasterization on GPUs

Marco A. G. Silva, Anselmo Montenegro, Esteban Clua, Cristina Vasconcelos, Marcos Lage

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, Visualization

July 20, 2013 by hgpu

Parallel Image Segmentation Using Reduction-Sweeps On Multicore Processors and GPUs

Renato Farias, Ricardo Farias, Ricardo Marroquim, Esteban Clua

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Tags: Algorithms, Clustering, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 470

July 19, 2013 by hgpu

The CUDA Handbook: A Comprehensive Guide to GPU Programming

Nicholas Wilt

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Tags: Book, Computer science, CUDA, Image processing, N-body simulation, nVidia, Overview, Package

July 13, 2013 by hgpu

Exploiting Data Parallelism in the yConvex Hypergraph Algorithm for Image Representation using GPGPUs

Saurabh Jha, Tejaswi Agarwal, B. Rajesh Kanna

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Image processing, nVidia, nVidia GeForce GT 310 M

July 10, 2013 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Fast Morphological Image Processing on GPU using CUDA

An Ultra-Fast, Optimized and Massively-Parallelized Curvelet Transform Algorithm on GP-GPUs

Matrix Convolution using Parallel Programming

Image Processing with CUDA

Implementation of 2-D Discrete Cosine Transform Algorithm on GPU

Fast Image Processing with Embedded Microprocessors

Parallel Implementation of Texture Based Image Retrieval on The GPU

Image reconstruction in digital holographic microscopy on GPU

Real Time Pixel Art Remasterization on GPUs

Parallel Image Segmentation Using Reduction-Sweeps On Multicore Processors and GPUs

The CUDA Handbook: A Comprehensive Guide to GPU Programming

Exploiting Data Parallelism in the yConvex Hypergraph Algorithm for Image Representation using GPGPUs

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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