EXCELLERAT successfully closes its first chapter
The first funding phase of EXCELLERAT has come to an end on 31st May 2022. Over the past three and a half years, the Centre’s consortium consisting of 13 European partners provided expertise on how data management, data analytics, visualisation, simulation-driven design and co-design could benefit engineering, in particular in the aerospace, automotive, energy and manufacturing sectors. Overall, EXCELLERAT’s work strongly focused on improving computational efficiency, dynamic mesh adaptation, load balancing, scalable data handling, usability (visualisation and workflow tools), as well as investigating novel architectures and opportunities for co-design and developing more efficient numerical methods.
EXCELLERAT Conference: Impressions, Takeaways, and How to Watch
Nearing the end of its 3.5 year run, EXCELLERAT hosted a two-day online conference last week to present the industrial and broader European perspective on the project’s first run. Called “EXCELLERAT: Enabling Exascale potentials for engineering applications,” it showcased the impact, innovations, and tools that resulted from the work of the European Centre of Excellence for Engineering Applications.
Key points and take-outs from the FORTRAN webinar organised by EXCELLERAT
The EXCELLERAT Centre of Excellence held a Webinar with Wadud Miah on the topic “Fortran for High Performance Computing” on the 4th of May 2021. Following this event, CERFACS created a COOP blog article with the objective to further share the answers to the questions discussed during the webinar with the HPC ecosystem.
EXCELLERAT’s Fourth All-Hands Meeting
From 30 November to 1 December 2021, our project meeting was once again hosted as a digital event due to the continuing pandemic situation. About 30 partner representatives per day presented the EXCELLERAT project tasks’ good progress, some minor 2021 challenges, and the requirements for the project’s extension and great final results.
EPCC develops new modelling techniques for the chemical and oil and gas industry
Global equipment manufacturers in the chemical and oil and gas industry often rely on commercial Computational Fluid Dynamics (CFD) software tools for the design of their equipment. These commercial codes are currently unable to handle complex twophase flows. The formation of interfacial waves, their frequency and amplitude are particularly difficult to model in industrial environments.
Preparing Cloud Physics for Exascale
Cloud model (MONC) is an atmospheric model used throughout the weather and climate community to study clouds and turbulent flows. It’s often coupled with the CASIM microphysics model, which investigates interactions at the millimetre scale. These often model fog, which is very difficult due to the high resolution required – 1 metre instead of 1 kilometre.
New analysis methods facilitate the evaluation of complex engineering data
A further increase in the performance of supercomputers is expected over the next few years. So-called exascale computers will be able to deliver more precise simulations. This leads to considerably more data. Fraunhofer SCAI develops efficient data analysis methods for this purpose, which provide the engineer with detailed insights into the complex technical contexts.
EXCELLERAT to Bring HPC Applications to Engineering Industry
High-performance computing (HPC) specialists are looking forward to the technological improvements that should arrive as supercomputers approach the exascale. New approaches in hardware design and application development will expand the power of supercomputing, making it possible to solve new kinds of complex problems. These advances will, in turn, likely benefit industrial engineering research and development.
New supercomputing record set by ANSYS, HLRS and Cray
ANSYS, the High Performance Computing Center (HLRS) of the University of Stuttgart, and Cray Inc. have set a new supercomputing world record enabling organizations to create complete virtual prototypes of products faster than ever. ANSYS Fluent has been scaled to 172,032 computer cores on the HLRS supercomputer Hazel Hen, a Cray XC40 system.
