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EXCELLERAT Training Workshop: Using Machine Learning To Analyse Engineering Data

EXCELLERAT Training Workshop: Using Machine Learning To Analyse Engineering Data EXCELLERAT’s latest workshop dealt with data analysis for engineering data, particularly simulation data. Partners from Fraunhofer SCAI conducted this one-day online training course with sessions dedicated to the topics of Clustering, Dimensionality Reduction, Pre-processing of Simulation Data, and two hands-on tutorials with exemplary use-cases from car crash analysis and aeroacoustics. The eight workshop participants were partners and guests from HLRS, KTH, SSC-Services, and University of Trier, who actively contributed to the workshop by eagerly asking questions, initiating important discussions, and experimenting with the introduced data analysis tools in the hands-on

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The use of in-situ analysis tools by EXCELLERAT

The use of in-situ analysis tools by EXCELLERAT Paraview-Catalyst is widely used to perform in-situ visualisation, for example the OpenFOAM and Code-Saturne HPC codes have successfully used this software. In order to use Catalyst, a given code should be prepared. First, an appropriate version of Paraview-Catalyst must be available on the computer system on which the code will be executed. Then the code must be instrumented to transfer its data towards Catalyst. Finally, in most cases, a Python script automatically produced by Paraview must be prepared. This script contains the instructions which will be executed during the run time of

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EXCELLERAT’s First Joint Technical Workshop with ChEESE and HiDALGO Centres of Excellence

EXCELLERAT’s First Joint Technical Workshop with ChEESE and HiDALGO Centres of Excellence In collaboration with ChEESE and HiDALGO, EXCELLERAT has completed its first joint technical workshop. ChEESE is active in the domain of Solid Earth, targeting the preparation of 10 Community flagship European codes for the upcoming pre-Exascale and Exascale supercomputers. HiDALGO is developing novel methods, algorithms and software to accurately model and simulate the complex processes that arise in connection with major global challenges. The event included a session on each of these topics: Load Balancing, In situ & remote visualisation, Co-design, and GPU Porting. Partners and guests from

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Gauging High Performance Computing needs for industrial applications: a worked example

Gauging High Performance Computing needs for industrial applications: a worked example Foreword 2020: a tipping point for Computer-aided-design and High performance Computing. Existing monitoring tools on an HPC cluster What is missing for the engineer? for the software developer? Retrieving the missing data What did we learn on this batch of simulations? Conclusion Foreword High performance Computing (HPC) has uses in a wide variety of fields, ranging from fundamental research to industrial design, as measured e.g. by the Technology Readiness Level. It involves actors in both scientific and the engineering communities. This document focuses on the latter, i.e. uses of HPC in industrial applications.  The hardships of

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EXCELLERAT goes digital: 36th INTERNATIONAL CAE CONFERENCE AND EXHIBITION

EXCELLERAT goes digital: 36th International CAE Conference and Exhibition In partnership with FocusCoE and MaX, EXCELLERAT took part in the CAE2020 International Conference and Exhibition digital event. EXCELLERAT and MaX shared a virtual booth “HPC-COES: MAX & EXCELLERAT” in the Exhibition area. On this booth, visitors could read the prepared flyers, videos, websites, and EXCELLERAT’s social media channels. This digital booth also allowed visitors to interact in a one-to-one video/chat, and to share their contact details or request a meeting. In addition to this digital booth, EXCELLERAT also had a talk in a collateral event: High Performance Computing, a key

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EXCELLERAT’s Second Virtual All-Hands Meeting

EXCELLERAT’s Second Virtual All-Hands Meeting Our second virtual project meeting took place from 9 to 11 December 2020. Representatives from all partners, a total of more than 30 participants on each of the three days, presented the EXCELLERAT project tasks’ progress and challenges they faced throughout this year, as well as the need for a continuous evolution and mastering this final project year. On the first day, the focus was on the general management, communication and dissemination activities on behalf of EXCELLERAT, the services and respectively the updates on the Service Portal, as well as the market context and sustainability

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High-performance computing challenge: How can engineers effectively leverage HPC technology?

High-performance computing challenge: How can engineers effectively leverage HPC technology? When developing or improving products, engineers face the challenge of analysing complex simulations to test their designs. High-performance computing (HPC) is used to solve major problems in engineering by performing demanding operations such as simulations relatively quickly. Also, by processing more precise operations, HPC can avoid the errors that might be introduced by humans. Engineers use HPC mainly for performing simulations: these digital models, comprising huge amounts of numbers and algorithms, can determine a product’s viability. When performing simulations, the experts can track the behaviour of the product by including

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EXCELLERAT collaborates with the HiDALGO Centre of Excellence

EXCELLERAT collaborates with the HiDALGO Centre of Excellence The two Centres of Excellence (CoEs) HiDALGO – HPC and Big Data Technologies for Global Systems – and EXCELLERAT are successfully collaborating, for instance in the improvement of HiDALOGO’s Urban Air Pollution Pilot. HiDALGO developed the pilot and asked the EXCELLERAT team for support during the pilot’s application improvement phase. Together they pushed forward the pilot case, as they improved mesh quality, speed-up, and parallel efficiency of the Urban Air Pollution Pilot. This success was efficiently achieved within a few months thanks to the excellent exchange of knowledge and cooperation. Future collaboration

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Nek5000 in EXCELLERAT: towards Exascale

Nek5000 in EXCELLERAT: towards Exascale 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. By tuning the OpenACC directives, the performance of these kernels could be improved with almost a factor of two, however this was still far from the measured roofline of these kernels. This led to the development of a hybrid OpenACC + CUDA version of Nekbone, where the main part

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New EXCELLERAT Service Portal is launched

New EXCELLERAT Service Portal is launched 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 have adopted a user-centric approach, and the Portal therefore offers separate dashboards tailored towards engineers, software developers, and the general engineering community. Each dashboard quickly directs users to relevant content, and delivers tailored information accordingly. Each page provides a quick route to any related content and offers an easy way to request

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