EXCELLERAT P2 D4.1 Workflows for engineering simulations progress report

This document summarises the progress in workflows for engineering simulations connected with the use cases defined in EXCELLERAT P2. We present the development of in-situ visualisation which is a requirement for running the use cases at exascale. We also show developments in improving efficiency of workflows, and work on standardising workflows. The latter is particularly important in simplifying workflows for new users, particularly new industrial users. In addition, we show the initial results for the use of automatic static mesh refinement, as an automatic mesh generation tool, which has been used to generate meshes of 50 million elements to date.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-21
DOI
https://doi.org/10.5281/zenodo.14198409
Primary Topic
Scientific Computing and Data Management
Type
article
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article

EXCELLERAT P2 D4.1 Workflows for engineering simulations progress report

Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

EXCELLERAT P2 D4.1 Workflows for engineering simulations progress report

article en

Abstract

This document summarises the progress in workflows for engineering simulations connected with the use cases defined in EXCELLERAT P2. We present the development of in-situ visualisation which is a requirement for running the use cases at exascale. We also show developments in improving efficiency of workflows, and work on standardising workflows. The latter is particularly important in simplifying workflows for new users, particularly new industrial users. In addition, we show the initial results for the use of automatic static mesh refinement, as an automatic mesh generation tool, which has been used to generate meshes of 50 million elements to date.

Zenodo (CERN European Organization for Nuclear Research)
University of Stuttgart (DE), Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (FR), KTH Royal Institute of Technology (SE)
Industry, innovation and infrastructure
Openalex Percentile: Top 33%
Scientific Computing and Data Management
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