high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science » Computer vision

Hardware-Efficient Belief Propagation

Chia-Kai Liang, Chao-Chung Cheng, Yen-Chieh Lai, Liang-Gee Chen, Homer H. Chen

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTS

April 13, 2011 by hgpu

GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection

Julius Fabian Ohmer, Nicholas J. Redding

Tags: Algorithms, Computer vision, Image processing, Video tracking

April 13, 2011 by hgpu

Real-time 3-D object recognition using scale invariant feature transform and stereo vision

Gee-Sern Hsu, Chyi-Yeu Lin, Jia-Shan Wu

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Tags: Cg, Computer science, Computer vision, GLSL, Image recognition, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 8500 GT, OpenGL, SIFT

April 11, 2011 by hgpu

A simple and efficient way to compute depth maps for multi-view videos

Gael Sourimant

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Tags: Algorithms, Computer science, Computer vision, Optical flow, Video tracking

April 9, 2011 by hgpu

Implementation of Kernel Methods on the GPU

Julius Ohmer, Frederic Maire, Ross Brown

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Tags: Cg, Computer vision, Image processing, Image recognition, nVidia, nVidia GeForce 6800, OpenGL

March 24, 2011 by hgpu

fastHOG – a real-time GPU implementation of HOG

Victor A. Prisacariu, Ian Reid

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 285, Package

March 22, 2011 by hgpu

Hierarchical belief propagation to reduce search space using CUDA for stereo and motion estimation

Scott Grauer-Gray, Chandra Kambhamettu

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8600 M GT

March 22, 2011 by hgpu

GPU implementation of belief propagation using CUDA for cloud tracking and reconstruction

Scott Grauer-Gray, Chandra Kambhamettu, Kannappan Palaniappan

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GT

March 22, 2011 by hgpu

High-quality Real-time Stereo using Adaptive Cost Aggregation and Dynamic Programming

Liang Wang, Miao Liao, Minglun Gong, Ruigang Yang, David Nister

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Tags: Algorithms, ATI, ATI Radeon X1800, Computer science, Computer vision

March 21, 2011 by hgpu

Stereovision On GPU

Ruigang Yang, Liang Wang, Greg Welch, Marc Pollefeys

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Tags: Algorithms, ATI, ATI Radeon X1800, Computer science, Computer vision

March 21, 2011 by hgpu

Efficient planar features matching for robot localization using GPU

Baptiste Charmette, Eric Royer, Frederic Chausse

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia Quadro FX 770 M, SIFT

March 20, 2011 by hgpu

GPU Vision: Accelerating Computer Vision algorithms with Graphics Processing Units

Tamas K. Lengyel, James Gedarovich, Antonio Cusano, Thomas J. Peters

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 9800 GT

March 20, 2011 by hgpu

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

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

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high performance computing on graphics processing units: hgpu.org

Applications

Hardware-Efficient Belief Propagation

GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection

Real-time 3-D object recognition using scale invariant feature transform and stereo vision

A simple and efficient way to compute depth maps for multi-view videos

Implementation of Kernel Methods on the GPU

fastHOG – a real-time GPU implementation of HOG

Hierarchical belief propagation to reduce search space using CUDA for stereo and motion estimation

GPU implementation of belief propagation using CUDA for cloud tracking and reconstruction

High-quality Real-time Stereo using Adaptive Cost Aggregation and Dynamic Programming

Stereovision On GPU

Efficient planar features matching for robot localization using GPU

GPU Vision: Accelerating Computer Vision algorithms with Graphics Processing Units

Recent source codes

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

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

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