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First 366 results for ” Malaspina D”

1. dispel4py: An agile framework for data-intensive escience

   We present dispel4py a versatile data-intensive kit presented as a standard Python library. It em...

   Rosa Filgueira, Alessandro Spinuso | Journal: IEEE 11th International Conference on e-Science | Year: 2015 | doi: https://doi.org/10.1109/eScience.2015.40

   Publication

2. DARE: A Reflective Platform Designed to Enable Agile Data-Driven Research on the Cloud

   The DARE platform has been designed to help research developers deliver user-facing applications ...

   Iraklis Klampanos, Alessandro Spinuso | Journal: 15th International Conference on eScience (eScience) | Year: 2019 | doi: 10.1109/eScience.2019.00079

   Publication

3. Workflows in a Dashboard: A New Generation of Usability

   In the last 20 years quite a few mature workflow engines and workflow editors have been developed...

   Sandra Gesing, Alessandro Spinuso | Journal: 9th Workshop on Workflows in Support of Large-Scale Science | Year: 2014 | doi: 10.1109/WORKS.2014.6

   Publication

4. VERCE platform integration: first selection and integration of services and tools and report of the management release process
   SH Leong, P Martin, H Schwichtenberg, A Gemünd, A Spinuso | Year: 2013

   Publication

5. Combining HPC with Data-Intensive Research via UNICORE for Seismological Applications

   Today advances in computational seismology require to realize complex geophysical simula- tions i...

   M Carpene, G Ferini, A Spinuso, L Trani, M Simon | Conference: UNICORE Summit 2013 | Place: Leipzig | Year: 2013 | First page: 0 | Last page: 0

   Publication