high performance computing on graphics processing units: hgpu.org

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Computer Vision on the GPU — Tools, Algorithms and Frameworks

Hannes Fassold

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Tags: Computer vision, CUDA, GPU, KLT, Optical flow, SIFT

May 31, 2016 by HannesF99

Hierarchical Semantic Parsing for Object Pose Estimation in Densely Cluttered Scenes

Chi Li, Jonathan Bohren, Eric Carlson, Gregory D. Hager

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Source codes

Tags: Computer science, Computer vision, CUDA, nVidia, OpenCV, Package, SIFT

March 3, 2016 by hgpu

A GPU-Accelerated Two Stage Visual Matching

Hannes Fassold, Harald Stiegler, Jakub Rosnery, Marcus Thaler, Werner Bailer

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Tags: CUDA, Image retrieval, SIFT

June 13, 2015 by HannesF99

A Real-time GPU Implementation of the SIFT Algorithm for Large-Scale Video Analysis Tasks

Hannes Fassold, Jakub Rosner

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Tags: Computer vision, CUDA, SIFT

February 12, 2015 by HannesF99

A Parallel Algorithm of PCA-SIFT Based on CUDA

Ping Zhang, Yongqi Sun, Hao Shen, Rui Zhang

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GT 240, OpenCV, Pattern recognition, SIFT

June 15, 2014 by hgpu

Modeling Image Patches with a Generic Dictionary of Mini-Epitomes

George Papandreou, Liang-Chieh Chen, Alan L. Yuille

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 650 M, SIFT, Tesla K20

April 17, 2014 by hgpu

Parallelization and Optimization of Feature Detection Algorithms on Embedded GPU

Seung Heon Kang, Seung-Jae Lee, In Kyu Park

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Tags: Algorithms, ARM, Computer science, Computer vision, OpenCL, OpenGL, SIFT

January 14, 2014 by hgpu

Large scale 3D shape retrieval by exploiting multi-core and GPU

M. Benjelloun, E.W. Dadi, E.M. Daoudi

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 610, SIFT

January 5, 2014 by hgpu

Fingerprint Local Invariant Feature Extraction on GPU with CUDA

Ali Ismail Awad

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Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GT 430, SIFT

October 22, 2013 by hgpu

Workload Analysis and Efficient OpenCL-based Implementation of SIFT Algorithm on a Smartphone

Guohui Wang, Blaine Rister, Joseph R. Cavallaro

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Tags: ARM, Computational Complexity, Computer science, Computer vision, OpenCL, SIFT

September 20, 2013 by hgpu

Feature Tracking in Time-Varying Volumetric Data through Scale Invariant Feature Transform

Khoa Tan Nguyen, Timo Ropinski

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Tags: Algorithms, Computer science, Computer vision, OpenCL, SIFT

July 12, 2013 by hgpu

Fast Implementation of Scale Invariant Feature Transform Based on CUDA

Meng Lu

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia Quadro FX 600, SIFT

May 6, 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

Computer Vision on the GPU — Tools, Algorithms and Frameworks

Hierarchical Semantic Parsing for Object Pose Estimation in Densely Cluttered Scenes

A GPU-Accelerated Two Stage Visual Matching

A Real-time GPU Implementation of the SIFT Algorithm for Large-Scale Video Analysis Tasks

A Parallel Algorithm of PCA-SIFT Based on CUDA

Modeling Image Patches with a Generic Dictionary of Mini-Epitomes

Parallelization and Optimization of Feature Detection Algorithms on Embedded GPU

Large scale 3D shape retrieval by exploiting multi-core and GPU

Fingerprint Local Invariant Feature Extraction on GPU with CUDA

Workload Analysis and Efficient OpenCL-based Implementation of SIFT Algorithm on a Smartphone

Feature Tracking in Time-Varying Volumetric Data through Scale Invariant Feature Transform

Fast Implementation of Scale Invariant Feature Transform Based on CUDA

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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