12033
hgpu.org » nVidia GeForce 9300 M

3D Objects Tracking by GPGPU-Enhanced Particle Filter Algorithms

Jieyun Zhou, Masayuki Numao, Xiaofeng Li, Haitao Chen
View View   Download Download (PDF)   

Tags: , , , , , , , ,

May 10, 2014 by hgpu

Parallel GPU Implementation of Hough Transform for Circles

Meisam Askari, Hossein Ebrahimpour, Azam Asilian Bidgoli, Farahnaz Hosseini
View View   Download Download (PDF)   

Tags: , , , , , , ,

December 16, 2013 by hgpu

A mobile robot navigation with use of CUDA parallel architecture

Barbara Siemiatkowska, Jacek Szklarski, Michal Gnatowski, Adam Borkowski, Piotr Weclewski
View View   Download Download (PDF)   

Tags: , , , , ,

November 5, 2011 by hgpu

A case study on porting scientific applications to GPU/CUDA

Javier Delgado, Joao Gazolla, Esteban Clua, S. Masoud Sadjadi
View View   Download Download (PDF)   

Tags: , , , , , , , ,

October 26, 2011 by hgpu

Recent source codes

Rgtsvm: Support Vector Machines on a GPU in R

Rgtsvm: Support Vector Machines on a GPU in R

Rgtsvm: Support Vector Machines on a GPU in R
Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras

Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras

Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras
gloo: Collective communications library with various primitives for multi-machine training

gloo: Collective communications library with various primitives for multi-machine training

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU

MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU

MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU
CELES: CUDA-accelerated electromagnetic scattering by large ensembles of spheres

CELES: CUDA-accelerated electromagnetic scattering by large ensembles of spheres

CELES: CUDA-accelerated simulation of electromagnetic scattering by large ensembles of spheres
Boda: A C++ Framework for Efficient Experiments in Computer Vision [WIP]

Boda: A C++ Framework for Efficient Experiments in Computer Vision [WIP]

Implementing Efficient, Portable Computations for Machine Learning
ESPRESO: Highly Parallel Solvers for Engineering Applications

ESPRESO: Highly Parallel Solvers for Engineering Applications

Intel Xeon Phi acceleration of Hybrid Total FETI solver
Parallel and in-process compilation of individuals for genetic programming on GPU

Parallel and in-process compilation of individuals for genetic programming on GPU

Parallel and in-process compilation of individuals for genetic programming on GPU
MECCA development in accelerators - KPP Fortran to CUDA source-to-source pre-processor

MECCA development in accelerators - KPP Fortran to CUDA source-to-source pre-processor

MEDINA: MECCA Development in Accelerators – KPP Fortran to CUDA source-to-source Preprocessor
Internally-maintained tool for examining GPU scheduling behavior

Internally-maintained tool for examining GPU scheduling behavior

Inferring the Scheduling Policies of an Embedded CUDA GPU
See all packages

* * *

* * *

HGPU group © 2010-2017 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: