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In-situ visualization using Damaris: the Code Saturne use case

Joshua C Bowden 1, * François Tessier 1 Charles Deltel 2 Simone Bnà 3 Gabriel Antoniu 1 
* Corresponding author
1 KerData - Scalable Storage for Clouds and Beyond
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
Abstract : As the exascale era approaches, maintaining scalable performance in data management tasks (storage, visualization, analysis, etc.) remains a key challenge in sustaining high performance for the application execution. To address this challenge, the Damaris middleware leverages dedicated computational resources in multicore nodes to offload data management tasks, including I/O, data compression, scheduling of data movements, in-situ analysis, and visualization. In this study we evaluate the benefits of Damaris to improve the efficiency of in-situ visualization for Code_Saturne, a fluid dynamics modeling environment. The experiments show Damaris to adequately hide the I/O processing of various Paraview processing pipelines in Code_Saturne. In all cases the Damaris enabled version of Code_Saturne was found to be more efficient than the identical non-Damaris capable version when running the same Paraview pipeline.
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Submitted on : Friday, September 24, 2021 - 3:31:50 PM
Last modification on : Friday, August 5, 2022 - 2:54:52 PM


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  • HAL Id : hal-03354035, version 1


Joshua C Bowden, François Tessier, Charles Deltel, Simone Bnà, Gabriel Antoniu. In-situ visualization using Damaris: the Code Saturne use case. 2021. ⟨hal-03354035⟩



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