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Parallelization Strategies of the Canny Edge Detector for Multi-core CPUs and Many-core GPUs

Taieb Lamine Ben Cheikh, Giovanni Beltrame, Gabriela Nicolescu, Farida Cheriet, Sofiene Tahar

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

July 2, 2012 by hgpu

Fast motion detection from airborne videos using graphics processing unit

Kui Liu, Ben Ma, Qian Du, Genshe Chen

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 480, Optical flow

June 23, 2012 by hgpu

GPUSync: Architecture-Aware Management of GPUs for Predictable Multi-GPU Real-Time Systems

Glenn A. Elliott, Bryan C. Ward, James H. Anderson

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 470, Package, Performance

June 11, 2012 by hgpu

Platform 2012, a Many-Core Computing Accelerator for Embedded SoCs: Performance Evaluation of Visual Analytics Applications

Diego Melpignano, Luca Benini, Eric Flamand, Bruno Jego, Thierry Lepley, Germain Haugou, Fabien Clermidy, Denis Dutoit

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Tags: ARM, Computer science, Computer vision, nVidia, nVidia GeForce GTX 280, OpenCL, Performance

June 4, 2012 by hgpu

Real-time Traffic Sign Recognition with Map Fusion on Multicore/Many-core Architectures

Kerem Par, Oguz Tosun

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

May 15, 2012 by hgpu

Implementation and Optimization of Image Processing Algorithms on Embedded GPU

Nitin Singhal, Jin Woo Yoo, Ho Yeol Choi, In Kyu Park

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Tags: Algorithms, ARM, Computer vision, Image processing, OpenGL, Optimization, Rendering

May 7, 2012 by hgpu

Temporally Consistent Disparity and Optical Flow via Efficient Spatio-temporal Filtering

Asmaa Hosni, Christoph Rhemann, Michael Bleyer, Margrit Gelautz

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Tags: Algorithms, Computer science, Computer vision, CUDA, Filtering, nVidia, nVidia GeForce GTX 480, Optical flow

April 3, 2012 by hgpu

GPU Accelerated Real-Time Object Detection on High Resolution Videos Using Modified Census Transform

Salih Cihan Tek, Muhittin Gokmen

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

March 11, 2012 by hgpu

CUDA Accelerated Face Recognition Using Local Binary Patterns

Salih Cihan Tek, Muhittin Gokmen

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image recognition, Nearest neighbour, nVidia, nVidia GeForce GTX 580

March 10, 2012 by hgpu

Multi-Object Geodesic Active Contours (MOGAC): A Parallel Sparse-Field Algorithm for Image Segmentation

Blake C. Lucas, Michael Kazhdan, Russell H. Taylor

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Tags: Algorithms, Computer science, Computer vision, Java, nVidia, nVidia Quadro FX 4000, OpenCL

March 10, 2012 by hgpu

Parallel Implementation of Similarity Measures on GPU Architecture using CUDA

Kuldeep Yadav, Ankush Mittal, M.A Ansari, Vennktesh Vishwarup

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

March 2, 2012 by hgpu

Exploiting Segmentation for Robust 3D Object Matching

Michael Krainin, Kurt Konolige, Dieter Fox

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTS 450, OpenGL, Package

February 18, 2012 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

Parallelization Strategies of the Canny Edge Detector for Multi-core CPUs and Many-core GPUs

Fast motion detection from airborne videos using graphics processing unit

GPUSync: Architecture-Aware Management of GPUs for Predictable Multi-GPU Real-Time Systems

Platform 2012, a Many-Core Computing Accelerator for Embedded SoCs: Performance Evaluation of Visual Analytics Applications

Real-time Traffic Sign Recognition with Map Fusion on Multicore/Many-core Architectures

Implementation and Optimization of Image Processing Algorithms on Embedded GPU

Temporally Consistent Disparity and Optical Flow via Efficient Spatio-temporal Filtering

GPU Accelerated Real-Time Object Detection on High Resolution Videos Using Modified Census Transform

CUDA Accelerated Face Recognition Using Local Binary Patterns

Multi-Object Geodesic Active Contours (MOGAC): A Parallel Sparse-Field Algorithm for Image Segmentation

Parallel Implementation of Similarity Measures on GPU Architecture using CUDA

Exploiting Segmentation for Robust 3D Object Matching

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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