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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

Design and Storage Optimization of GPU-based Parallel Program of Image Registration for Remote Sensing

Zhou Haifang, Xu Rulin, Jiang Jingfei

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Tags: CUDA, Image processing, Image registration, nVidia, Sensing, Tesla M2050, Wavelet

November 30, 2013 by hgpu

Performance Analysis of GPU-based SAR and Interferometric SAR image processing

Achille Peternier, Marco Defilippi, Paolo Pasquali, Alessio Cantone, Rolf Krause, Raffaele Vitulli, Fumitaka Ogushi, Alberto Meroni

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Tags: Algorithms, CUDA, Image processing, nVidia, OpenCL, Tesla C2050

November 27, 2013 by hgpu

Dynamic Partitioning-based JPEG Decompression on Heterogeneous Multicore Architectures

Wasuwee Sodsong, Jingun Hong, Seongwook Chung, Shin-Dug Kim, Bernd Burgstaller

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Tags: Compression, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GT 430, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 680, OpenCL, Performance

November 23, 2013 by hgpu

An improved parallel contrast-aware halftoning

Ling-yue Liu, Wei Chen, Tien-tsin Wong, Wen-ting Zheng, Wei-dong Geng

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

November 22, 2013 by hgpu

GPGPU-accelerated Interesting Interval Discovery and other Computations on GeoSpatial Datasets – A Summary of Results

Sushil K. Prasad, Shashi Shekhar, Michael McDermott, Xun Zhou, Michael Evans, Satish Puri

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Tags: Algorithms, CUDA, Earth and Space Sciences, Image processing, nVidia, nVidia GeForce GTX 480, OpenGL

November 17, 2013 by hgpu

Implementation of Diamond Search Algorithm Using Parallel Processing Architecture

K. Shuma Roshini, M. Tejaswi

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GT 610, Video encoding

November 17, 2013 by hgpu

Parallel Implementation of Color Based Image Retrieval Using CUDA 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

November 17, 2013 by hgpu

SAGE: Self-Tuning Approximation for Graphics Engines

Mehrzad Samadi, Janghaeng Lee, D. Anoushe Jamshidi, Amir Hormati, Scott Mahlke

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Tags: Algorithms, Code generation, Compilers, CUDA, Image processing, Machine learning, nVidia, nVidia GeForce GTX 560, Performance

November 14, 2013 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

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

Design and Storage Optimization of GPU-based Parallel Program of Image Registration for Remote Sensing

Performance Analysis of GPU-based SAR and Interferometric SAR image processing

Dynamic Partitioning-based JPEG Decompression on Heterogeneous Multicore Architectures

An improved parallel contrast-aware halftoning

GPGPU-accelerated Interesting Interval Discovery and other Computations on GeoSpatial Datasets – A Summary of Results

Implementation of Diamond Search Algorithm Using Parallel Processing Architecture

Parallel Implementation of Color Based Image Retrieval Using CUDA on the GPU

SAGE: Self-Tuning Approximation for Graphics Engines

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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