high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science » Computer vision

Fast Face Detection Using Graphics Processor

Kailash Devrari, K.Vinay Kumar

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia Quadro FX 580

December 11, 2011 by hgpu

DTAM: Dense tracking and mapping in real-time

Richard A. Newcombe, Steven J. Lovegrove, Andrew J. Davison

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, Image alignment, nVidia, nVidia GeForce GTX 480

December 6, 2011 by hgpu

Auto-optimization of a Feature Selection Algorithm

Didem Unat, Han Suk Kim, Jurgen P. Schulze, Scott B. Baden

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Optimization, Rendering, Tesla C1060, Visualization

December 2, 2011 by hgpu

Fast hough transform on GPUs: exploration of algorithm trade-offs

Gert-Jan van den Braak, Cedric Nugteren, Bart Mesman, Henk Corporaal

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 470

November 25, 2011 by hgpu

Using mobile GPU for general-purpose computing – a case study of face recognition on smartphones

Kwang-Ting (Tim) Cheng, Yi-Chu Wang

View

Download (PDF)

Tags: ARM, Computer science, Computer vision, FFT, Image recognition, nVidia, nVidia Tegra

November 20, 2011 by hgpu

The MOPED framework: Object recognition and pose estimation for manipulation

The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA

View

Download (PDF)

Source codes

Tags: Algorithms, Clustering, Computer science, Computer vision, nVidia, nVidia GeForce GTX 260, Package, SIFT

November 18, 2011 by hgpu

gSLIC: a real-time implementation of SLIC superpixel segmentation

Carl Yuheng Ren, Ian Reid

View

Download (PDF)

Source codes

Tags: Clustering, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Package

November 15, 2011 by hgpu

AVSS2011 demo session: GPU enabled Smart Video Node

Sadiye Guler, Jay Silverstein, Ian Pushee, Xiang Ma, Ashutosh Morde

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 220

November 14, 2011 by hgpu

Fast Level Set Segmentation of Biomedical Images using Graphics Processing Units

Hormuz Mostofi

View

Download (PDF)

Source codes

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

November 13, 2011 by hgpu

Parallel Implementation of Otsu’s Binarization Approach on GPU

Brij Mohan Singh, Rahul Sharma, Ankush Mittal, Debashish Ghosh

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 9500 GT, Pattern recognition

November 9, 2011 by hgpu

Parallel Implementation of Souvola’s Binarization Approach on GPU

Brij Mohan Singh, Rahul Sharma, Ankush Mittal, Debashish Ghosh

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 9500 GT, Pattern recognition

November 9, 2011 by hgpu

Low Complexity Corner Detector Using CUDA for Multimedia Applications

Rajat Phull, Pradip Mainali, Qiong Yang, Patrice Rondao Alface, Henk Sips

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 280

November 9, 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Fast Face Detection Using Graphics Processor

DTAM: Dense tracking and mapping in real-time

Auto-optimization of a Feature Selection Algorithm

Fast hough transform on GPUs: exploration of algorithm trade-offs

Using mobile GPU for general-purpose computing – a case study of face recognition on smartphones

The MOPED framework: Object recognition and pose estimation for manipulation

gSLIC: a real-time implementation of SLIC superpixel segmentation

AVSS2011 demo session: GPU enabled Smart Video Node

Fast Level Set Segmentation of Biomedical Images using Graphics Processing Units

Parallel Implementation of Otsu’s Binarization Approach on GPU

Parallel Implementation of Souvola’s Binarization Approach on GPU

Low Complexity Corner Detector Using CUDA for Multimedia Applications

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

Most viewed papers (last 30 days)