Electronic Design

Mathworks Matlab GPU Q and A

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 ...
IEEE

Image convolution processing: A GPU versus FPGA comparison

Abstract: Convolution is one of the most important operators used in image processing. With the constant need to increase the performance in high-end applications and the rise and popularity of ...
GitHub

Convolutional neural network based metal artifact reduction (CNN-MAR) in x-ray computed tomography

This code was written in Matlab. It was tested on a PC with a Windows 10 operation system, Matlab R2016a, Microsoft Visual C++ 2012, and a GeForce GTX 970 GPU card. Because the code used the ...
GitHub

webstorage119/GPU-CNN-seeta-Accelerate-convolution-neural-network-for-face-recognition-using-GPU

The purpose of this repo is to accelerate VIPLFaceNet, a face recognition algorithm with 7 convolution layers, with GPU and CUDA programming.
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 ...