high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Image and Signal Processing

Partial Demosaicing for Stereo Matching of CFA Images on GPU and CPU

Naiyu Zhang, Jean-Charles Creput, Hongjian Wang, Cyril Meurie, Yassine Ruichek

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 570, Stereo vision

December 29, 2013 by hgpu

OpenCL Programming by Example

Ravishekhar Banger, Koushik Bhattacharyya

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Tags: Book, Computer science, Image processing, Matrix multiplication, Memory model, Nearest neighbour, OpenCL, OpenGL, Pattern recognition, Tutorial

December 27, 2013 by hgpu

Scene Boundary Detection Technique Based on Bottom-Up Attention System and OpenCL Parallel Implementation

S. Axyonov, D. Kovalenko, I. Potapyev

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Tags: Algorithms, ATI, ATI Radeon HD 5850 M, Computer vision, Image processing, OpenCL

December 24, 2013 by hgpu

Speed-Up Improvement Using Parallel Approach in Image Steganography

JyothiUpadhya K, U Dinesh Acharya, Hemalatha S

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce GT 640, OpenCL

December 22, 2013 by hgpu

Fast Image Alignment with Fourier Moment Matching on GPU

Hong-Ren Su, Hao-Yuan Kuo, Shang-Hong Lai, Chin-Chia Wu

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Tags: CUDA, Image alignment, Image processing, nVidia, nVidia GeForce GT 630 M, nVidia GeForce GTX 650

December 18, 2013 by hgpu

OpenCL Accelerated Multi-GPU Cone-Beam Reconstruction

Marc Kaseberg, Steffen Melnik, Erwin Keeve

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Tags: Algorithms, ATI, ATI Radeon HD 5770, ATI Radeon HD 6970, Computed tomography, CT, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 680, nVidia Quadro 600, OpenCL, Tomography

December 17, 2013 by hgpu

Parallel GPU Implementation of Hough Transform for Circles

Meisam Askari, Hossein Ebrahimpour, Azam Asilian Bidgoli, Farahnaz Hosseini

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9300 M, nVidia GeForce 9400 GT, nVidia GeForce GT 220, nVidia GeForce GT 430

December 16, 2013 by hgpu

A Parallel Method for Impulsive Image Noise Removal on Hybrid CPU/GPU Systems

M.G. Sanchez, V. Vidal, J. Bataller, J. Arnal

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GT 120, OpenMP

December 15, 2013 by hgpu

A GPU-Accelerated Framework for Image Processing and Computer Vision

Ashwini.A.Patil, Pankaja.A.Shahapure

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Tags: Computer vision, CUDA, GLSL, Image processing, nVidia, nVidia GeForce GTX 280, OpenCV

December 11, 2013 by hgpu

An Analytical Approach of Mars Rovers by Using GPU Technology and Genetic Algorithm

Manas Arora, Neha Maurya

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, Tesla M2050, Wavelet

December 11, 2013 by hgpu

A Video Deblurring Optimization Algorithm Based on Motion Detection

Zhang Yinan, He Jing, Yuan Jie

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 460

December 9, 2013 by hgpu

Dense Real-Time Mapping of Object-Class Semantics from RGB-D Video

Jorg Stuckler, Benedikt Waldvogel, Hannes Schulz, Sven Behnke

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 675 M, nVidia GeForce GTX Titan

December 9, 2013 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Partial Demosaicing for Stereo Matching of CFA Images on GPU and CPU

OpenCL Programming by Example

Scene Boundary Detection Technique Based on Bottom-Up Attention System and OpenCL Parallel Implementation

Speed-Up Improvement Using Parallel Approach in Image Steganography

Fast Image Alignment with Fourier Moment Matching on GPU

OpenCL Accelerated Multi-GPU Cone-Beam Reconstruction

Parallel GPU Implementation of Hough Transform for Circles

A Parallel Method for Impulsive Image Noise Removal on Hybrid CPU/GPU Systems

A GPU-Accelerated Framework for Image Processing and Computer Vision

An Analytical Approach of Mars Rovers by Using GPU Technology and Genetic Algorithm

A Video Deblurring Optimization Algorithm Based on Motion Detection

Dense Real-Time Mapping of Object-Class Semantics from RGB-D Video

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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

Most viewed papers (last 30 days)