A Digital Twin Global Survey Report indicates that digital twin technology is bringing together simulation, high-performance computing (HPC), artificial intelligence (AI), and data science in groundbreaking ways.
To help companies digitally transform vehicle development workflows, Dassault Systèmes delivers a guide highlighting design and multidisciplinary simulation.
Data is like the steam power that drove the first Industrial Revolution, the successor to the electrical connections that drove the second one, and the byproduct of the computers that brought about the Digital Revolution.
The Digital Twin provides a collaborative framework and the necessary design tools to drive informed, real-time decisions regarding thermal risk and capacity utilization. 6SigmaDCX Release 15 streamlines data center design and management with new big data features, faster model creation and automation across the board.
Wolfgang Gentzsch, president and co-founder of the UberCloud and Rev-Sim Moderator shares his thoughts on the coming years in this MCADCafe article.
This is the first of three articles demonstrating the growing acceptance of High Performance Computing especially in new user communities and application areas.
The University at Buffalo Center for Computational Research (CCR) is expanding its super-computing capability with new grants. The center will use the awards to purchase advanced computing equipment that will triple its computing power, enabling it to better support new and existing businesses in advanced manufacturing, the life sciences and other industries.
When Kubota needed to accelerate design and development, Altair set their users up with an intuitive, secure interface and drag-and-drop options via Altair® Access™.
Initially, Rimac developed its own internal HPC cluster to provide the computing resources and storage it needed to innovate and iterate its products. However, as Rimac grew, it required greater scale and more powerful computing. Migrating workloads from its internal cluster to the cloud offered the prospect of improving simulations and models, adding greater complexity to those models, and doing it all faster.
UberCloud and Microsoft collaborated with a blended FLSmidth team, bringing the company’s engineering teams the performance and collaboration gains they need for continuing success.
Opin Kerfi‘s HPC resources and UberCloud’s HPC software container for Abaqus provided the compute power and environment needed to reduce the simulation time and allowed a large number of iterations to be run in order to get the optimal design and accurate device placement.
Simulation is being used for lawsuits in court, treating schizophrenia, use in middle school education and in deep learning.
UberCloud project #211 on Deep Learning for Fluid Flow Prediction in the Advania Cloud has been performed solely for educational purposes, for our wider engineering community.
PBBL Law Offices in Las Vegas/Orlando approached UberCloud and Fraunhofer Institute for Building Physics asking for HPC support in a lawsuit dealing with a twin tower residential condominium.
Clippard Instrument Laboratory, a community-oriented company near Cincinnati, specializes in miniature pneumatics. So, when the team encountered a proportional valve that was not delivering consistent performance, they knew they needed to take a closer look at the valve components and design.
