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Authors: Carpené, M.* 
Klampanos, I. A.* 
Leong, S. H.* 
Casarotti, E.* 
Danecek, P.* 
Ferini, G.* 
Gemünd, A.* 
Krause, A.* 
Krischer, L.* 
Magnoni, F.* 
Simon, M.* 
Spinuso, A.* 
Trani, L.* 
Atkinson, M.* 
Erbacci, G.* 
Frank, A.* 
Igel, H.* 
Rietbrock, H.* 
Schwichtenberg, H.* 
Vilotte, J.* 
Title: Towards Addressing CPU-Intensive Seismological Applications in Europe
Publisher: Springer Berlin Heidelberg
Issue Date: 2013
Keywords: VERCE
Forward Modeling
Inverse Modelling
Misfit Calculation
Scientific Gateway
Subject Classification04. Solid Earth::04.06. Seismology::04.06.04. Ground motion 
04. Solid Earth::04.06. Seismology::04.06.09. Waves and wave analysis 
05. General::05.01. Computational geophysics::05.01.01. Data processing 
05. General::05.01. Computational geophysics::05.01.03. Inverse methods 
05. General::05.01. Computational geophysics::05.01.05. Algorithms and implementation 
Abstract: 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 ( 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.
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