White Paper: The EXCELLERAT Best Practice Guide

The EXCELLERAT Best Practise Guide is an outcome of EXCELLERAT, the European Centre of Excellence for Engineering Applications. The project aimed at establishing the foundation of a central European knowledge and competence hub for all stakeholders in the usage and exploitation of high-performance computing (HPC) and high-performance data analytics (HPDA) in engineering. Having worked together throughout the 42 months of the initial funding phase, we are presenting this Best Practice Guide of ways and approaches to execute engineering applications on state of the art HPC-systems in preparation for the exascale era.

White Paper: FPGAs for accelerating HPC engineering workloads – the why and the how

Running high performance workloads on Field Programmable Gate Arrays (FPGAs) has been ex-plored but is yet to demonstrate widespread success. Software developers have traditionally felt a significant disconnect from the knowledge required to effectively exploit FPGAs, which included the esoteric programming technologies, long build times, and lack of familiar software tooling. Fur-thermore, for the few developers that invested time and effort into FPGAs, from a performance perspective the hardware historically struggled to compete against latest generation CPUs and GPUs when it came to Floating Point Operations per Second (FLOPS).

White Paper: Empowering Large-Scale Turbulent Flow Simulations With Uncertainty Quantification Techniques

An effective, robust simulation must account for potential sources of uncertainty. Computational fluid dynamics (CFD), in particular, has to deal with many uncertainties from various sources. The real world, after all, forces many kinds of uncertainties upon engineering components – everything from changes in numerical and computational parameters to uncertainty in initial and boundary conditions and geometry. No matter how expensive a flow simulation is, the uncertainties have to be assessed. In CFD, uncertainty is inevitable. But it presents us with a question: how do you know which uncertainties to expect and quantify without using an enormous amount of computing power?

White Paper – Monitoring High-Performance Computing at scale

There is still a long way to go before using Tier-0 High Performance Computers for engineering design every day. Moving from a handful of demonstration runs to the desired mass production will require a special pair of glasses to get insights on how end-users actually use each software on each machine.