1 / 4

TurbaseDNS : a database of direct numerical simulations of complex flows

F. Bonaccorso 1 , L. Biferale 1 , A. Lanotte 2 and M. Sbragaglia 1 1 University of Rome Tor Vergata & INFN, Rome, Italy 2 CNR ISAC & INFN, Lecce Italy fabio.bonaccorso@roma2.infn.it. TurbaseDNS : a database of direct numerical simulations of complex flows. Our Current Challenges.

compton
Download Presentation

TurbaseDNS : a database of direct numerical simulations of complex flows

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. F. Bonaccorso1, L. Biferale1, A. Lanotte2 and M. Sbragaglia1 1 University of Rome Tor Vergata & INFN, Rome, Italy 2 CNR ISAC & INFN, Lecce Italy fabio.bonaccorso@roma2.infn.it TurbaseDNS: a database of direct numerical simulations of complex flows

  2. Our Current Challenges Computational Fluid Dynamics (CFD) community is facing the problem of preservation, standardization and analysis of big data, e.g: Several numerical experiments from PRACE projects 4th call, PI A. Lanotte, “Eulerian and Lagrangian Turbulence over a reduced fractal skeleton”, 22M core-hours on FERMI@CINECA 40TB data storage. 7th call, PI M. Sbragaglia, “Dynamics of multi-component Fluid dynamics in porous structures” 9.1M core-hours on HERMIT@JULICH 40TB data storage. 9th call, PI L.Biferale, “Effect of Helicity and Rotation in Turbulent flows: Eulerian and Lagrangian statistics”, 55M core-hours on FERMI@CINECA, 100TB data storage 11th call, PI L.Biferale, “HAT - Homogeneous and Anisotropic Turbulence: Eulerian and Lagrangian statistics”, 27M core-hours on FERMI@CINECA, 100TB data storage. Without systematic analysis and classification of huge datasets: pletora of in-house ad-hoc solutions vs standards

  3. Why EUDAT? 1. Preserve: Guarantees long-term persistence of data (B2SHARE) 2. Standard solution for researchers to share common datasets, retaining full access speed from HPC systems (B2SHARE) 3. Reaching a wider audience than CFD specialists (B2SHARE) 4. Building from experience in metadata from different science fields 5. Permanent identification of data: data owner tracing (B2SHARE) 6. Professionally managed storage service (B2SHARE) 7. Transfer large data collection from EUDAT storage to HPC facilities (B2STAGE)

  4. The expected future impact - Benchmark for next generation codes - Validation of measurements from experimental and field data - Aposteriori exploitation without the need of HPC facilities Cross-field applications: Bio-fluids, Environmental physics, Meteorology, Astrophysics, Mechanical Engineering, etc..

More Related