Success Story: Bringing industrial end-users to Exascale computing : An industrial level combustion design tool on 128K cores
Success Story: Bringing industrial end-users to Exascale computing: An industrial level combustion design tool on 128K cores Success story # Highlights: Exascale Industry sector: Aerospace Key codes used: AVBP Strong scaling for turbulent channel (tri) and rocket engine simulations (circle). Performance (symbols) versus ideal (line) acceleration. Organisations & Codes Involved: CERFACS is a theoretical and […]
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 use of in-situ analysis tools by EXCELLERAT
Paraview-Catalyst is widely used to perform in-situ visualisation, as in the case of OpenFOAM and Code-Saturne. However, one needs An appropriate version of Paraview-Catalyst on the computer system, the code must be instrumented to transfer its data towards Catalyst, and one usually needs a Python script automatically produced by Paraview.
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 while HiDALGO is developing novel methods, algorithms and software to accurately model and simulate the complex processes that arise from major global challenges.
Gauging High Performance Computing needs for industrial applications: a worked example
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.
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. In their shared virtual booth “HPC-COES: MAX & EXCELLERAT,” visitors could read the prepared flyers, videos, websites, and EXCELLERAT’s social media channels. Visitors could also video/chat, share their contact details, or request a 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 over 30 participants on each of the three days, presented the EXCELLERAT project tasks’ progress and challenges they faced throughout this year, and the need for a continuous evolution and mastering this final project year.
Success story: Towards an increased accuracy in the automotive field simulations: mesh optimising by using an a posteriori adjoint based error estimation
Success Story: Towards an increased accuracy in the automotive field simulations Success story # Highlights: Key words: Mathematical model: Adjoint based morphing Mesh optimising Industry sectors: Automotive, Aerospace Key codes used: FEniCS HPC, Unicorn HPC, Tetgen Fig 1: pressure field distribution over the car surface Organisations & Codes Involved: KTH Royal Institute of Technology in […]
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.
Enabling parallel mesh adaptation with Treeadapt: Enabling parallel mesh adaptation with Treeadapt
Success Story: Enabling parallel mesh adaptation with Treeadapt Success story # Highlights: Keywords: CFD Mesh adaptation Parallel performance Load balancing Industry sector: Aeronautics, High Performance Computing Key codes used: AVBP, Treepart, Treeadapt Mesh adaptation of an inviscid eulerian vortex inital mesh (left), First adapted grid (middle), Final mesh (left) Organisations & Codes Involved: CERFACS is […]