Zobrazeno 1 - 10
of 64
pro vyhledávání: '"BERTOCCO, SARA"'
Autor:
Taffoni, Giuliano, Bertocco, Sara, Morris, Dave, Parra-Royón, Manu, Kliffen, Klaas, Molinaro, Marco, Swinbank, John, Exposito, Susana Sanchez
The EU ESCAPE project is developing ESAP, ESFRI 1 Scientific Analysis Platform, as an API gateway that enables the seamless integration of independent services accessing distributed data and computing resources. In ESCAPE we are exploring the possibi
Externí odkaz:
http://arxiv.org/abs/2301.09978
Rosetta is a science platform for resource-intensive, interactive data analysis which runs user tasks as software containers. It is built on top of a novel architecture based on framing user tasks as microservices - independent and self-contained uni
Externí odkaz:
http://arxiv.org/abs/2209.02003
Autor:
Molinaro, Marco, Allen, Mark, Genova, Françoise, Schaaff, André, Neves, Margarida Castro, Demleitner, Markus, Bertocco, Sara, Morris, Dave, Bonnarel, François, Voutsinas, Stelios, Boisson, Catherine, Taffoni, Giuliano
Publikováno v:
Proc. SPIE 11449, Observatory Operations: Strategies, Processes, and Systems VIII, 114491S (13 December 2020)
The International Virtual Observatory Alliance (IVOA) has developed and built, in the last two decades, an ecosystem of distributed resources, interoperable and based upon open shared technological standards. In doing so the IVOA has anticipated, put
Externí odkaz:
http://arxiv.org/abs/2103.08334
Autor:
Goz, David, Ieronymakis, Georgios, Papaefstathiou, Vassilis, Dimou, Nikolaos, Bertocco, Sara, Simula, Francesco, Ragagnin, Antonio, Tornatore, Luca, Coretti, Igor, Taffoni, Giuliano
New challenges in Astronomy and Astrophysics (AA) are urging the need for a large number of exceptionally computationally intensive simulations. "Exascale" (and beyond) computational facilities are mandatory to address the size of theoretical problem
Externí odkaz:
http://arxiv.org/abs/2003.03283
Autor:
Chaitra, Bertocco, Sara, Molinaro, Marco, Molinari, Sergio, Ragagnin, Antonio, Taffoni, Giuliano
The Virtual Observatory (VO) simulation standards, Simulation Data Model (SimDM) and Simulation Data Access Layer (SimDAL), establish a framework for the discoverability and dissemination of data created in simulation projects. These standards addres
Externí odkaz:
http://arxiv.org/abs/1911.10892
Autor:
Molinaro, Marco, Allen, Mark, Bertocco, Sara, Boisson, Catherine, Bonnarel, François, Neves, Margarida Castro, Demleitner, Markus, Genova, Françoise, Morris, Dave, Schaaff, André, Taffoni, Giuliano, Voutsinas, Stelios
The European Open Science Cloud (EOSC) is in its early stages, but already some aspects of the EOSC vision are starting to become reality, for example the EOSC portal and the development of metadata catalogues. In the astrophysical domain already exi
Externí odkaz:
http://arxiv.org/abs/1911.08205
Publikováno v:
Intelligent Computing. CompCom 2019. Advances in Intelligent Systems and Computing, vol 997. Springer, Cham
This work arises on the environment of the ExaNeSt project aiming at design and development of an exascale ready supercomputer with low energy consumption profile but able to support the most demanding scientific and technical applications. The ExaNe
Externí odkaz:
http://arxiv.org/abs/1901.08532
The ExaNeSt and EuroExa H2020 EU-funded projects aim to design and develop an exascale ready computing platform prototype based on low-energy-consumption ARM64 cores and FPGA accelerators. We participate in the application-driven design of the hardwa
Externí odkaz:
http://arxiv.org/abs/1812.00367
Autor:
Bertocco, Sara, Major, Brjan, Dowler, Patrick, Gaudet, Séverin, Molinaro, Marco, Taffoni, Giuliano
A joint project between the Canadian Astronomy Data Center of the National Research Council Canada, and the italian Istituto Nazionale di Astrofisica-Osservatorio Astronomico di Trieste (INAF-OATs), partially funded by the EGI-Engage H2020 European P
Externí odkaz:
http://arxiv.org/abs/1712.02610
Autor:
Bertocco, Sara, Major, Brian, Dowler, Patrick, Gaudet, Séverin, Pasian, Fabio, Taffoni, Giuliano
The increase of astronomical data produced by a new generation of observational tools poses the need to distribute data and to bring computation close to the data. Trying to answer this need, we set up a federated data and computing infrastructure in
Externí odkaz:
http://arxiv.org/abs/1712.02574