One of EXCELLERAT’s tasks is improving Nek5000’s Exascale readiness, particularly with respect to accelerators. As a starting point, we used an OpenACC version of the proxy-app Nekbone and focused on further optimising the small matrix-matrix kernels which constitutes most of the work in the full Nek5000.
We are pleased to announce the launch of EXCELLERAT’s redesigned Service Portal. By presenting a wide variety of resources in an easily-accessible format, the Portal will play an essential role in EXCELLERAT’s mission to create a Centre of Excellence in Engineering.
We can affirm with quite a certainty that future Exascale systems will be heterogeneous, including accelerators such as GPUs. We can also expect higher variability on the performance of the various computing devices engaged in a simulation; due to the explosion of the parallelism, or other technical aspects such as the hardware-enforced mechanisms to preserve the thermal design limits.
Due to the travel restrictions linked to the corona virus, we have successfully organised our first EXCELLERAT virtual All Hands Meeting with more than 40 participants. Instead of hosting it in Stockholm from 5th until 7th May, this was our team’s largest online conference so far.
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.