nVidia GeForce 9300 M

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3D Objects Tracking by GPGPU-Enhanced Particle Filter Algorithms

Jieyun Zhou, Masayuki Numao, Xiaofeng Li, Haitao Chen

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 9300 M, nVidia GeForce GTX 480, OpenCV, Particle filtering

May 10, 2014 by hgpu

Parallel GPU Implementation of Hough Transform for Circles

Meisam Askari, Hossein Ebrahimpour, Azam Asilian Bidgoli, Farahnaz Hosseini

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9300 M, nVidia GeForce 9400 GT, nVidia GeForce GT 220, nVidia GeForce GT 430

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

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9300 M, Sensing

November 5, 2011 by hgpu

A case study on porting scientific applications to GPU/CUDA

Javier Delgado, Joao Gazolla, Esteban Clua, S. Masoud Sadjadi

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Tags: Computer science, CUDA, Earth and Space Sciences, Fortran, nVidia, nVidia GeForce 9300 M, nVidia GeForce 9400 M, Tesla S1070, Weather prediction

October 26, 2011 by hgpu

PAstudy

Double-precision FPUs in High-Performance Computing: an Embarrassment of Riches?

hpx: The C++ Standard Library for Parallelism and Concurrency

Integration of CUDA Processing within the C++ library for parallelism and concurrency (HPX)

OpenDwarfs: a benchmark suite consisting of different computation/communication idioms, i.e., dwarfs, for state-of-art multicore CPUs, GPUs, Intel MICs and Altera FPGAs

OpenCL Performance Prediction using Architecture-Independent Features

Rodinia Benchmark Suite ported for OpenCL-capable Intel FPGAs

High Performance Computing with FPGAs and OpenCL

The Ocean Tensor Package

Tornado

Using Compiler Snippets to Exploit Parallelism on Heterogeneous Hardware: A Java Reduction Case Study

pocl: Portable Computing Language

Exploiting Task Parallelism with OpenCL: A Case Study

TVM: Open deep learning compiler stack for cpu, gpu and specialized accelerators

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

MyCaffe: A complete deep learning platform written almost entirely in C# for Windows developers

MyCaffe: A Complete C# Re-Write of Caffe with Reinforcement Learning

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

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high performance computing on graphics processing units: hgpu.org

3D Objects Tracking by GPGPU-Enhanced Particle Filter Algorithms

Parallel GPU Implementation of Hough Transform for Circles

A mobile robot navigation with use of CUDA parallel architecture

A case study on porting scientific applications to GPU/CUDA

Recent source codes

PAstudy

hpx: The C++ Standard Library for Parallelism and Concurrency

OpenDwarfs: a benchmark suite consisting of different computation/communication idioms, i.e., dwarfs, for state-of-art multicore CPUs, GPUs, Intel MICs and Altera FPGAs

Rodinia Benchmark Suite ported for OpenCL-capable Intel FPGAs

The Ocean Tensor Package

Tornado

pocl: Portable Computing Language

TVM: Open deep learning compiler stack for cpu, gpu and specialized accelerators

MyCaffe: A complete deep learning platform written almost entirely in C# for Windows developers

Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

Most viewed papers (last 30 days)

Featured events

International Conference on Image, Video and Signal Processing (IVSP), 2019

International Joint Conference on Signals, Systems and Computers (CSSC), 2018

International Joint Conference on Robotics, Automation and Mechatronics (JCRAM), 2018

International Joint Conference on Robotics and Artificial Intelligence (JCRAI), 2018

International Joint Conference on Computer Vision and Pattern Recognition (CCVPR), 2018