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In-situ visualization using Damaris: the Code Saturne use case
| Content Provider | Hyper Articles en Ligne (HAL) |
|---|---|
| Author | Bowden, Joshua, C Tessier, François Deltel, Charles Bnà, Simone Antoniu, Gabriel |
| 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. |
| Related Links | https://inria.hal.science/hal-03354035/file/PRACE_W6_2_Damaris_Integration_with_Code_Saturne_Whitepaper__post_review_2_.pdf |
| Language | English |
| Publisher | HAL CCSD |
| Publisher Date | 2021-09-17 |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science |