Alessandro Spinuso
Title
Cited by
Cited by
Year
dispel4py: An agile framework for data-intensive escience
R Filgueira, A Krause, M Atkinson, I Klampanos, A Spinuso, ...
2015 IEEE 11th International Conference on e-Science, 454-464, 2015
182015
VERCE delivers a productive e-Science environment for seismology research
M Atkinson, M Carpené, E Casarotti, S Claus, R Filgueira, A Frank, ...
2015 IEEE 11th International Conference on e-Science, 224-236, 2015
182015
Workflows in a dashboard: a new generation of usability
S Gesing, M Atkinson, R Filgueira, I Taylor, A Jones, V Stankovski, ...
2014 9th Workshop on Workflows in Support of Large-Scale Science, 82-93, 2014
132014
Interoperability oriented architecture: the approach of epos for solid earth e-infrastructures
D Bailo, KG Jeffery, A Spinuso, G Fiameni
2015 IEEE 11th International Conference on e-Science, 529-534, 2015
102015
Mapping solid earth Data and Research Infrastructures to CERIF
D Bailo, D Ulbricht, ML Nayembil, L Trani, A Spinuso, KG Jeffery
Procedia Computer Science 106, 112-121, 2017
92017
Active Provenance in Data-intensive Research
A Spinuso, A Mihajlovski, R Filgueira, M Atkinson
EGUGA, 19076, 2017
82017
Provenance for seismological processing pipelines in a distributed streaming workflow
A Spinuso, J Cheney, M Atkinson
Proceedings of the Joint EDBT/ICDT 2013 Workshops, 307-312, 2013
82013
Towards addressing cpu-intensive seismological applications in europe
M CarpenÚ, IA Klampanos, SH Leong, E Casarotti, P Danecek, G Ferini, ...
International Supercomputing Conference, 55-66, 2013
62013
Visualisation methods for large provenance collections in data-intensive collaborative platforms
A Spinuso, R Fligueira, M Atkinson, A Gemuend
EGUGA, EPSC2016-14793, 2016
52016
Ws-pgrade/guse in european projects
T Kiss, P Kacsuk, R Lovas, Á Balaskó, A Spinuso, M Atkinson, ...
Science Gateways for Distributed Computing Infrastructures, 235-254, 2014
52014
Active provenance for Data-Intensive workflows: engaging users and developers
A Spinuso, M Atkinson, F Magnoni
2019 15th International Conference on eScience (eScience), 560-569, 2019
32019
A novel automated approach to ambient noise data processing using the admire framework
L Trani, A Spinuso, M Galea, I Main
Geophysical Research Abstracts 13, 2011
32011
Comprehensible control for researchers and developers facing data challenges
M Atkinson, R Filgueira, I Klampanos, A Koukourikos, A Krause, ...
2019 15th International Conference on eScience (eScience), 311-320, 2019
22019
Data-intensive seismology: research horizons
M Galea, A Rietbrock, A Spinuso, L Trani
The DATA Bonanza, 353, 2013
22013
Infrastructure for data-intensive seismology: cross-correlation of distributed seismic traces through the ADMIRE framework
A Spinuso, L Trani, M Atkinson, M Galea
Geophys. Res. Abstr. 13EGU2011-10324-1, 2011
22011
Ease access to climate simulations for researchers: IS-ENES climate4impact
C Pagé, WS de Cerff, M Plieger, A Spinuso, X Pivan
2019 15th International Conference on eScience (eScience), 586-587, 2019
12019
DARE: A Reflective Platform Designed to Enable Agile Data-Driven Research on the Cloud
I Klampanos, A Davvetas, A Gemünd, M Atkinson, A Koukourikos, ...
2019 15th International Conference on eScience (eScience), 578-585, 2019
12019
The VERCE Science Gateway: Enabling User Friendly HPC Seismic Wave Simulations.
E Casarotti, A Spinuso, J Matser, SH Leong, F Magnoni, A Krause, ...
AGUFM 2014, S52A-06, 2014
12014
The verce science gateway: Interactive forward modeling and metadata management
A SPINUSO, A KRAUSE, CR GARCIA, E CASAROTTI, F MAGNONI, ...
Second European Conference on Earthquake Engineering and Seismology (2ECEES), 2014
12014
The VERCE Science Gateway: enabling user friendly seismic waves simulations across European HPC infrastructures
A Spinuso, A Krause, C Ramos Garcia, E Casarotti, F Magnoni, ...
EGUGA, 6141, 2014
12014
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Articles 1–20