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)

1 KerData - Scalable Storage for Clouds and Beyond
2 SED [Rennes] - Service Expérimentation et Développement
3 CINECA [Bologna]

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.

Domaines: Calcul parallèle, distribué et partagé [cs.DC]

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