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EmoNets: Multimodal deep learning approaches for emotion recognition in video

Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Caglar Gulcehre, Vincent Michalski, Kishore Konda, Sebastien Jean, Pierre Froumenty, Aaron Courville, Pascal Vincent, Roland Memisevic, Christopher Pal, Yoshua Bengio

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, nVidia

March 14, 2015 by hgpu

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

A Real-time GPU Implementation of the SIFT Algorithm for Large-Scale Video Analysis Tasks

Hannes Fassold, Jakub Rosner

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Tags: Computer vision, CUDA, SIFT

February 12, 2015 by HannesF99

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

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

EmoNets: Multimodal deep learning approaches for emotion recognition in video

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

A Real-time GPU Implementation of the SIFT Algorithm for Large-Scale Video Analysis Tasks

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

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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