note

Windows のパソコンとIntelのGPUしか持ってない人がGPUで深層学習するに ...

matlabのdeep learning toolboxを使って機械学習を始めてみたはいいが、 単一CPUで学習させるとどうしても時間がかかる。 具体的には、Inter(R) Core(TM) i5-10210U CPU @ 1.60GHzにてvgg16モデルを利用したCAEに、240x240x3の24bit bmp画像8枚分を学習させるのに1分弱かかる) 大学の ...
マイナビニュース

【MATLAB EXPO2010】3行書くだけでGPUコンピューティングの利用が可能に

MATLABの関数は現在1000程度、その内200程度がビジュアル向けなので、残り800個の内、123個の関数がGPUコンピューティングに対応しており、今後、ニーズに応じて、対応関数は増えていくとの見方を同社では示している。
insideHPC

Interview: MATLAB Support for GPUs a Game-Changer

When Nvidia kicked off the GPU conference a couple of weeks ago, one of the first things they announced was that MATLAB now supports GPUs. This is a key milestone, as it essentially means that anyone ...
Electronic Design

AccelerEyes Talks About Matlab GPU Acceleration

John Melonakos, CEO and Co-Founder of AccelerEyes, talks with Technology Editor Bill Wong about Matlab and GPU acceleration technology. I recently spoke with John Melonakos, CEO and Co-Founder of ...
GitHub

Duong-John/NVIDIA-GPU-RGB-Convolution-Neuron-Network

This is a small, simple, solo, and personal project, which I attempt to gain insight into some features of coding on GPU (NVIDIA GPU specifically) and try to reimplement the renowned Convolution ...
IEEE

Accelerating convolution-based detection model on GPU

Abstract: Convolution-based detection models (CDM) have achieved tremendous success in computer vision in last few years, such as deformable part-based models (DPM) and convolutional neural networks ...
IEEE

FFT and Convolution Performance in Image Filtering on GPU

Abstract: Many contemporary visualization tools comprise some image filtering approach. Since image filtering approaches are very computationally demanding, the acceleration using graphics-hardware ...