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hgpu.org » Applications » Computer science » Computer vision

GPU Accelerated Parallel Iris Localization

Abhishek Sinha

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Tags: Biometrics, Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce GT 410 M, nVidia GeForce GTX 460, Thesis

December 11, 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

Computing OpenSURF on OpenCL and General Purpose GPU

Wanglong Yan, Xiaohua Shi, Xin Yan, Lina Wang

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Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, Computer vision, Memory model, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 660, OpenCL

December 4, 2013 by hgpu

Fingerprint grid enhancement on GPU

Raja Lehtihet, Wael El Oraiby, Mohammed Benmohammed

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Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 560 Ti

December 4, 2013 by hgpu

GPU and CPU Cooperative Accelerated Road Detection

Peng Xiong, Cheng Xu, Zheng Tian, Tao Li

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Tags: Computer science, Computer vision, Neural networks, OpenCV

December 3, 2013 by hgpu

Real-time High Resolution Fusion of Depth Maps on GPU

Dmitry Trifonov

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Tags: Algorithms, Computer science, Computer vision, Graphics, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 560 Ti, OpenCL

December 3, 2013 by hgpu

Digitize Your Body and Action in 3-D at Over 10 FPS: Real Time Dense Voxel Reconstruction and Marker-less Motion Tracking via GPU Acceleration

Jian Song, Yatao Bian, Junchi Yan, Xu Zhao, Yuncai Liu

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Tags: Algorithms, ATI, ATI Radeon HD 6870, Computer science, Computer vision, Graphics, OpenCL, OpenCV

November 30, 2013 by hgpu

Accelerating Sequential Computer Vision Algorithms Using Commodity Parallel Hardware

Jacob (Jaap) van de Loosdrecht

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Thesis

November 22, 2013 by hgpu

Towards an interactive and automated script feature analysis of 3D scanned cuneiform tablets

D. Fisseler, F. Weichert, G.G.W. Muller, M. Cammarosano

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Tags: Computer science, Computer vision, GLSL, nVidia, nVidia GeForce GTX 560 Ti, OpenGL, Visualization

November 21, 2013 by hgpu

Optical Flow via Locally Adaptive Fusion of Complementary Data Costs

Tae Hyun Kim, Hee Seok Lee, Kyoung Mu Lee

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Optical flow

November 14, 2013 by hgpu

Moving Least-Squares Reconstruction of Large Models with GPUs

Bruce Merry, James Gain, Patrick Marais

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla C2070

November 8, 2013 by hgpu

Fast 3D Salient Region Detection in Medical Images using GPUs

Rahul Thota, Sharan Vaswani, Amit Kale, Nagavijayalakshmi Vydyanathan

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Tesla C2050

November 3, 2013 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

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high performance computing on graphics processing units: hgpu.org

Applications

GPU Accelerated Parallel Iris Localization

Dense Real-Time Mapping of Object-Class Semantics from RGB-D Video

Computing OpenSURF on OpenCL and General Purpose GPU

Fingerprint grid enhancement on GPU

GPU and CPU Cooperative Accelerated Road Detection

Real-time High Resolution Fusion of Depth Maps on GPU

Digitize Your Body and Action in 3-D at Over 10 FPS: Real Time Dense Voxel Reconstruction and Marker-less Motion Tracking via GPU Acceleration

Accelerating Sequential Computer Vision Algorithms Using Commodity Parallel Hardware

Towards an interactive and automated script feature analysis of 3D scanned cuneiform tablets

Optical Flow via Locally Adaptive Fusion of Complementary Data Costs

Moving Least-Squares Reconstruction of Large Models with GPUs

Fast 3D Salient Region Detection in Medical Images using GPUs

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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