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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

GPU Implementation of Real-Time Biologically Inspired Face Detection using CUDA

Zeinab Farhoudi, Ali Broumandnia, Elham Askary, Sara Motamed

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Tags: Computer science, Computer vision, CUDA, Image processing, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTX

July 8, 2013 by hgpu

Multicore and GPU Parallelization of Neural Networks for Face Recognition

Altaf Ahmad Huqqani, Erich Schikuta, Sicen Ye, Peng Chen

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Tags: Computer science, Computer vision, CUDA, Neural networks, nVidia, OpenMP, Tesla C1060

June 16, 2013 by hgpu

Real-time planar flow velocity measurements using an optical flow algorithm implemented on GPU

N. Gautier, J-L. Aider

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Tags: Algorithms, Computer vision, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 580, Optical flow, Physics

June 13, 2013 by hgpu

OpenCL Implementation of a Color Based Object Tracking

Marko Jocic, Dorde Obradovic, Zora Konjovic, Daniel Tertei

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GT 420, OpenCL

June 12, 2013 by hgpu

Using RenderScript and RCUDA for Compute Intensive tasks on Mobile Devices: a Case Study

Roelof Kemp, Nicholas Palmer, Thilo Kielmann, Henri Bal, Bastiaan Aarts, Anwar Ghuloum

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia Tegra

June 4, 2013 by hgpu

Coating Process Monitoring Using Computer Vision

Erik Veijola

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, OpenCV, Thesis

June 4, 2013 by hgpu

Using sparse optical flow for multiple Kinect applications

Kai Berger, Yannic Schroeder, Stefan Guthe, Marc Aurel Kastner

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 690, Optical flow

June 4, 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

Pedestrian Detection at Warp Speed: Exceeding 500 Detections per Second

Floris De Smedt, Kristof Van Beeck, Tinne Tuytelaars and Toon Goedeme

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 295

May 13, 2013 by hgpu

Exploring Computer Vision and Image Processing Algorithms in Teaching Parallel Programming

Dan Connors

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Tags: Computer science, Computer vision, CUDA, Education, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL

May 11, 2013 by hgpu

Real-Time Object Tracking by CUDA-accelerated Neural Network

Mikhail S. Tarkov, Sergey V. Dubynin

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

May 11, 2013 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

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

GPU Implementation of Real-Time Biologically Inspired Face Detection using CUDA

Multicore and GPU Parallelization of Neural Networks for Face Recognition

Real-time planar flow velocity measurements using an optical flow algorithm implemented on GPU

OpenCL Implementation of a Color Based Object Tracking

Using RenderScript and RCUDA for Compute Intensive tasks on Mobile Devices: a Case Study

Coating Process Monitoring Using Computer Vision

Using sparse optical flow for multiple Kinect applications

Efficient GPU-based Graph Cuts for Stereo Matching

Pedestrian Detection at Warp Speed: Exceeding 500 Detections per Second

Exploring Computer Vision and Image Processing Algorithms in Teaching Parallel Programming

Real-Time Object Tracking by CUDA-accelerated Neural Network

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

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