Author: Christopher Williams
The program opened with presentations by industrial users of HLRS’s HPC systems. Andreas Link of automotive supplier Mann + Hummel described his team’s computational fluid dynamics (CFD) simulations, which they run at HLRS to optimize car component geometries and reduce noise caused by air flow around them
Author: Janik Schüssler, SSC
One part of EXCELLERAT’s vision is to provide the engineering community with easy access to relevant services and knowledge around high performance computing. The keyword here is ‘Access’.
Author: Niclas Jansson, KTH
Understanding the complex physics of wall-bounded turbulent flows is of utmost importance, considering the presence of this type of flows in various engineering applications.
Author: Claudio Arlandini, CINECA
The design of the car of the future requires going over the usual RANS approach, since it fails to predict with an acceptable prediction accuracy features like transitional flows, instabilities, noise gneration, combustion efficiency. This in turn requires exascale systems, to sustain more high-fidelity simulations techniques, like LES or DES. EXCELLERAT paves the way to this transition.
Author: Nick Brown, EPCC
Cloud model (MONC) is an atmospheric model used throughout the weather and climate community to study clouds and turbulent flows. This is often coupled with the CASIM microphysics model, which provides the capability to investigate interactions at the millimetre scale and study the formation and development of moisture.
Author: Veronika Scheuer, Fraunhofer SCAI
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.
Author: Lena Bühler, HLRS
High-performance computing (HPC) specialists are looking forward to the technological improvements that should arrive in the coming years as supercomputers approach the exascale. New approaches in hardware design (including new processors and high-bandwidth memory) and in application development (for example, code parallelization and data processing) will expand the power of supercomputing and therefore make it possible to solve new kinds of complex problems.