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。

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 ...

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 ...

GPUs are ubiquitous and fast. They have transformed graphics rendering virtual 3D worlds in real time. They are also becoming major workhorses in supercomputing. The Mathworks Matlab GPU support is a ...

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 ...

Abstract: 2D image convolution is ubiquitous in image processing and computer vision problems such as feature extraction. Exploiting parallelism is a common strategy for accelerating convolution.

AccelerEyes announced yesterday a new beta release of their software, Jacket. John Melonakos, CEO of AccelerEyes, sent me an email about the announcement and the product Jacket is a GPU engine for ...

This project explores the optimization of 2D convolution — a core operation in image processing and deep learning — by implementing and comparing multiple execution strategies: sequential (CPU-based), ...