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Autori principali: Dosimont, Damien, Houzeaux, Guillaume
Natura: Preprint
Pubblicazione: 2024
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Accesso online:https://arxiv.org/abs/2401.08447
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author Dosimont, Damien
Houzeaux, Guillaume
author_facet Dosimont, Damien
Houzeaux, Guillaume
contents We tackle the challenging tasks of monitoring on unstable HPC platforms the performance of CFD applications all along their development. We have designed and implemented a monitoring framework, integrated at the end of a CI-CD pipeline. Measures retrieved during the automatic execution of production simulations are analyzed within a visual analytics interface we developed, providing advanced visualizations and interaction. We have validated this approach by monitoring the CFD code Alya over two years, detecting and resolving issues related to the platform, and highlighting performance improvement.
format Preprint
id arxiv_https___arxiv_org_abs_2401_08447
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Monitoring the development of CFD applications on unstable HPC platforms
Dosimont, Damien
Houzeaux, Guillaume
Distributed, Parallel, and Cluster Computing
Computational Physics
We tackle the challenging tasks of monitoring on unstable HPC platforms the performance of CFD applications all along their development. We have designed and implemented a monitoring framework, integrated at the end of a CI-CD pipeline. Measures retrieved during the automatic execution of production simulations are analyzed within a visual analytics interface we developed, providing advanced visualizations and interaction. We have validated this approach by monitoring the CFD code Alya over two years, detecting and resolving issues related to the platform, and highlighting performance improvement.
title Monitoring the development of CFD applications on unstable HPC platforms
topic Distributed, Parallel, and Cluster Computing
Computational Physics
url https://arxiv.org/abs/2401.08447