CUDA programming has been a valuable component in the Nvidia ecosystem since 2006 and is a linchpin in the company's AI ...

Here’s something fun. Our hacker [Willow Cunningham] has sent us a copy of their homework. This is their final project for the “ECE 574: Cluster Computing” course at the University of Maine ...

A recent review in npj 2D Materials and Applications highlights how 2D materials like MoS2 and graphene are enabling ...

Level Transformation of 2D Shuttle Chips into 3D-IC for Advanced Rapid Prototyping using Meta Bonding” was published by ...

Abstract: Convolutional Neural Networks (CNNs) and Transformer-based self-attention models have become the standard for medical image segmentation. This paper demonstrates that convolution and ... to ...

Brighten image matrix: 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 0.2 Darken image: 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 Gausian Blur: 0.0625 0.125 0.0625 0.125 0.25 0.125 0.0625 ...

Abstract: Along with several other low-vision based computer vision problems, single image deraining is also taken as a challenging one due to its ill-posedness. Several algorithms based on ...

The state of matter in fluid phases, determined by the interactions between particles, can be characterized by a pair correlation function (PCF ... A relatively slow mechanism of STM image acquisition ...

Project Overview This project implements CUDA-based parallel programming for image processing, focusing on convolution and morphological operations. Each operation is executed in separate CUDA kernels ...