In Situ Data Steering on Sedimentation Simulation with Provenance Data

Vítor Silva (1) , José Camata (1) , Daniel de Oliveira (2) , Alvaro L G A Coutinho (1) , Patrick Valduriez (3, 4) , Marta Mattoso (1)

1 COPPE-UFRJ - Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia
2 IC-UFF - Instituto de Computação [Niteroi-Rio de Janeiro]
3 IBC - Institut de Biologie Computationnelle
4 ZENITH - Scientific Data Management

Parallel adaptive mesh refinement and coarsening (AMR) are optimal strategies for tackling large-scale simulations. libMesh is an open-source finite-element library that supports parallel AMR and is used in multiphysics applications. In complex simulation runs, users have to track quantities of interest (residuals, errors estimates, etc.) to control as much as possible the execution. However, this tracking is typically done only after the simulation ends. This paper presents DfAnalyzer, a solution based on provenance data to extract and relate strategic simulation data for online queries. We integrate DfAnalyzer to libMesh and ParaView Catalyst, so that queries on quantities of interest are enhanced by in situ visualization.

Mots clés: libMesh; in situ data analysis; raw data analysis; dataflow management; provenance

Domaines: Base de données [cs.DB]

Vítor Silva, José Camata, Daniel de Oliveira, Alvaro L G A Coutinho, Patrick Valduriez, et al.. In Situ Data Steering on Sedimentation Simulation with Provenance Data. SC: High Performance Computing, Networking, Storage and Analysis, Nov 2016, Salt Lake City, United States. , International Conference for High Performance Computing, Networking, Storage and Analysis, 2016. ⟨lirmm-01400532⟩