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Performance Analysis of a Stereo Matching Implementation in OpenCL

Stephan Rotheneder

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 1060, nVidia GeForce GTX 1080 Ti, nVidia GeForce GTX 750 Ti, nVidia Quadro 1000 M, OpenCL, Stereo vision

December 16, 2018 by hgpu

OpenCL-Based Design of an FPGA Accelerator for Phase-Based Correspondence Matching

Shunsuke Tatsumi, Masanori Hariyama, Mamoru Miura, Koichi Ito, Takafumi Aoki

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Tags: Computer science, FPGA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Stereo vision

August 18, 2015 by hgpu

Acceleration of stereo-matching on multi-core CPU and GPU

Tian Xu, Paul Cockshott, Susanne Oehler

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 770, Stereo vision

September 4, 2014 by hgpu

Using the GPU for Fast Symmetry-Based Dense Stereo Matching in High Resolution Images

Vasco Mota, Gabriel Falcao, Michel Antunes, Joao Barreto, Urbano Nunes

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Signal processing, Stereo vision, Wavelet

July 12, 2014 by hgpu

A New Parallel Implementation of DSI Based Disparity Computation Using CUDA

A. Mehmood, Y. Soh, I. Kim

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 780, Stereo vision

March 26, 2014 by hgpu

A Unified Approach for Registration and Depth in Depth from Defocus

Rami Ben-Ari

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Stereo vision, Thesis

March 18, 2014 by hgpu

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

Real-Time Stereo Matching using Adaptive Window based Disparity Refinement

Zheng Tian, Cheng Xu, Xin Huang, Xiaodong Wang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTS 450, Real-time graphics, Stereo vision

October 27, 2013 by hgpu

Heterogeneous Computing for Real-Time Stereo Matching

A. AL-Marakeby, M. Zaki

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Tags: Algorithms, Computer science, Computer vision, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 610 M, Stereo vision

August 10, 2013 by hgpu

Efficient GPU-based Graph Cuts for Stereo Matching

Young-kyu Choi, In Kyu Park

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580, Stereo vision

May 29, 2013 by hgpu

Parallel Implementations of a Disparity Estimation Algorithm Based on a Proximal Splitting Method

R. Gaetano, G. Chierchia, B. Pesquet-Popescu

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Tags: Algorithms, Computer science, nVidia, OpenCL, Optimization, Stereo vision, Tesla C1060

May 9, 2013 by hgpu

Real-time Stereo Vision: Optimizing Semi-Global Matching

Matthias Michael, Jan Salmen, Johannes Stallkamp, Marc Schlipsing

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Stereo vision

April 4, 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

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high performance computing on graphics processing units: hgpu.org

Performance Analysis of a Stereo Matching Implementation in OpenCL

OpenCL-Based Design of an FPGA Accelerator for Phase-Based Correspondence Matching

Acceleration of stereo-matching on multi-core CPU and GPU

Using the GPU for Fast Symmetry-Based Dense Stereo Matching in High Resolution Images

A New Parallel Implementation of DSI Based Disparity Computation Using CUDA

A Unified Approach for Registration and Depth in Depth from Defocus

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

Real-Time Stereo Matching using Adaptive Window based Disparity Refinement

Heterogeneous Computing for Real-Time Stereo Matching

Efficient GPU-based Graph Cuts for Stereo Matching

Parallel Implementations of a Disparity Estimation Algorithm Based on a Proximal Splitting Method

Real-time Stereo Vision: Optimizing Semi-Global Matching

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Over-synchronization in GPU Programs

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MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

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