Society for Industrial and Applied Mathematics is proud to present the twenty-first Conference on Parallel Processing for Scientific Computing. This series of conferences has played a key role in ...

The turbocharger has brought significant improvements to automotive engines' output. In those engines, exhaust gas that leaves the cylinders after each combustion cycle is routed to the turbine, ...

This repository contains a MATLAB-based image processing project focused on leaf segmentation and morphometric analysis. The work was completed as part of the MOD002643 – Image Processing module at ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Following Federal Railroad Administration (FRA) approval in April and launch of Phase 1 in June, Parallel Systems, in partnership with Genesee & Wyoming (G&W), has transitioned to Phase 2 of its first ...

Docling uses state-of-the-art models for layout analysis and table structure recognition to transform unstructured documents into formats readily consumable by modern AI systems. The rapid ...

Distinguished Professor Kaoru Inokuchi and Specially Appointed Assistant Professor Khaled Ghandour explain the rationale, goals, and main findings of this research, which focuses on the importance of ...

As demand for speed and data processing explodes, GPUs are becoming essential for unlocking the potential of next-generation technologies like AI and edge computing. Graphics processing units (GPUs) ...

Elise London is the CTO of Lakeside Software, where she oversees the design and delivery of its digital employee experience platform. I still remember when GPUs burst onto the scene 25 years ago. More ...

Abstract: Traditionally, applications written in MATLAB are oriented to single-processor systems. However, by applying standard parallel processing techniques and Message Passing Interface (MPI) ...