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A. Borusan

18.11.2019, 16 Uhr c.t. TU Berlin, EN building, seminar room EN 719 (7th floor), Einsteinufer 17, 10587 Berlin: "Managing and Analysing Simulation Data" (Fabio Porto, The National Laboratory of Scientific Computing (LNCC) Rio de Janeiro, Brazil)

The increasing processing power of HPC systems has enabled the development of realistic simulations of phenomena in different areas, such as oil and gas, engineering, medicine, and meteorology. As simulation quality improves and HPC systems approach exaflop performance, scientists use of simulation output evolve to complex data analytics tasks. Unfortunately, data management systems have completely neglected the domain of numerical simulations leading scientists to express complex analysis using ad-hoc programs on top of proprietary file formats or libraries, such as NETCDF and HDF5. In this talk, we present the work we have being developing on data management to support numerical simulations. We will first discuss a technique to answer spatial queries about the uncertainty in simulation results. Next, we will present the SAVIME (Simulation & Visualization in-memory) system, a multidimensional array DBMS designed with the following principles: to incur in minimum data ingestion overhead; to support complex data structures, such as meshes, data geometry and simulation metadata; to support data visualization; and to offer users a declarative query interface and query optimization.