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Trani, L.
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Trani, L.
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- PublicationRestrictedTowards Addressing CPU-Intensive Seismological Applications in Europe(Springer Berlin Heidelberg, 2013)
; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;Carpené, M.; CINECA, Bologna, Italy ;Klampanos, I. A.; University of Edinburgh, School of Informatics, UK ;Leong, S. H.; Leibniz Supercomputing Centre (LRZ), Garching, Germany ;Casarotti, E.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma1, Roma, Italia ;Danecek, P.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione CNT, Roma, Italia ;Ferini, G.; CINECA, Bologna, Italy ;Gemünd, A.; Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Germany ;Krause, A.; University of Edinburgh, Edinburgh Parallel Computing Centre (EPCC), UK ;Krischer, L.; Ludwig-Maximilianis-University, Department of Earth and Environmental Sciences, Germany ;Magnoni, F.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione CNT, Roma, Italia ;Simon, M.; Ludwig-Maximilianis-University, Department of Earth and Environmental Sciences, Germany ;Spinuso, A.; The Royal Netherlands Meteorological Institute (KNMI), Netherlands ;Trani, L.; The Royal Netherlands Meteorological Institute (KNMI), Netherlands ;Atkinson, M.; University of Edinburgh, School of Informatics, UK ;Erbacci, G.; CINECA, Bologna, Italy ;Frank, A.; Leibniz Supercomputing Centre (LRZ), Garching, Germany ;Igel, H.; Ludwig-Maximilianis-University, Department of Earth and Environmental Sciences, Germany ;Rietbrock, H.; University of Liverpool, Department of Earth, Ocean and Ecological Sciences, UK ;Schwichtenberg, H.; Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Germany ;Vilotte, J.; Institut de Physique du Globe de Paris (IPGP), France; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; Advanced application environments for seismic analysis help geosci- entists to execute complex simulations to predict the behaviour of a geophysical system and potential surface observations. At the same time data collected from seismic stations must be processed comparing recorded signals with predictions. The EU-funded project VERCE (http://verce.eu/) aims to enable specific seismological use-cases and, on the basis of requirements elicited from the seis- mology community, provide a service-oriented infrastructure to deal with such challenges. In this paper we present VERCE’s architecture, in particular relating to forward and inverse modelling of Earth models and how the, largely file-based, HPC model can be combined with data streaming operations to enhance the scala- bility of experiments. We posit that the integration of services and HPC resources in an open, collaborative environment is an essential medium for the advancement of sciences of critical importance, such as seismology.190 24