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hgpu.org » Applications » Computer science » Computer vision

Parallel Statistical Multi-resolution Estimation

Jan Lebert, Lutz Kunneke, Johannes Hagemann, Stephan C. Kramer

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Tags: Computational Physics, Computer vision, CUDA, nVidia, Physics, Tesla K20

March 14, 2015 by hgpu

Implementing Machine Learning Algorithms on GPUs for Real-Time Traffic Sign Classification

Dashiell Bodington, Eric Greenstein, Matthew Hu

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Tags: Algorithms, CNN, Computer science, Computer vision, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 780

March 12, 2015 by hgpu

Adaptive Video Encoding Based on OpenCL Face Recognition

Jiarui Lei, Wei Miao, Fengwen Song, Yuanlang Song, Jingyuan Sun

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Tags: Algorithms, Computer vision, Image processing, OpenCL, Video encoding

March 3, 2015 by hgpu

Iris Matching Algorithm on Many-Core Platforms

Chen Liu, Benjamin Petroski, Guthrie Cordone, Gildo Torres, Stephanie Schuckers

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Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, Intel Xeon Phi, nVidia, nVidia GeForce GTS 450

March 2, 2015 by hgpu

Face Detection on CUDA

Raksha Patel, Isha Vajani

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 410 M

February 27, 2015 by hgpu

Quadratic Pseudo-Boolean Optimization for Scene Analysis using CUDA

Andreas Bauer

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image reconstruction, nVidia, nVidia GeForce GTX 450 Ti, Thesis

February 13, 2015 by hgpu

Large-Scale Deep Learning on the YFCC100M Dataset

Karl Ni, Roger Pearce, Kofi Boakye, Brian Van Essen, Damian Borth, Barry Chen, Eric Wang

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, Neural networks, nVidia, Tesla M2050

February 13, 2015 by hgpu

On Vectorization of Deep Convolutional Neural Networks for Vision Tasks

Jimmy SJ. Ren, Li Xu

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Tags: CNN, Computer science, Computer vision, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 780 Ti, Package

January 30, 2015 by hgpu

CURFIL: Random Forests for Image Labeling on GPU

Hannes Schulz, Benedikt Waldvogel, Rasha Sheikh, Sven Behnke

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 675 M, nVidia GeForce GTX Titan, Package, Tesla K20

January 16, 2015 by hgpu

Face Recognition: A Tutorial on Computational Aspects

Alexander Alling, Nathaniel Powers, Tolga Soyata

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 760, nVidia GeForce GTX 780, Tutorial

January 10, 2015 by hgpu

Disjunctive Normal Networks

Mehdi Sajjadi, Mojtaba Seyedhosseini, Tolga Tasdizen

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Tags: Computer science, Computer vision, CUDA, Machine learning, Neural and Evolutionary Computing, Neural networks, nVidia

January 2, 2015 by hgpu

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille

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Tags: Algorithms, CNN, Computer science, Computer vision, CUDA, Neural networks, nVidia, nVidia GeForce GTX Titan

December 26, 2014 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

Parallel Statistical Multi-resolution Estimation

Implementing Machine Learning Algorithms on GPUs for Real-Time Traffic Sign Classification

Adaptive Video Encoding Based on OpenCL Face Recognition

Iris Matching Algorithm on Many-Core Platforms

Face Detection on CUDA

Quadratic Pseudo-Boolean Optimization for Scene Analysis using CUDA

Large-Scale Deep Learning on the YFCC100M Dataset

On Vectorization of Deep Convolutional Neural Networks for Vision Tasks

CURFIL: Random Forests for Image Labeling on GPU

Face Recognition: A Tutorial on Computational Aspects

Disjunctive Normal Networks

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

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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