Towards Addressing CPU-Intensive Seismological Applications in Europe

Michele Carpené, Iraklis A Klampanos, SiewHoon Leong, Emanuele Casarotti, Peter Danecek, Graziella Ferini, André Gemünd, Amrey Krause, Lion Krischer, Federica Magnoni, Marek Simon, Alessandro Spinuso, Luca Trani, Malcolm Atkinson, Giovanni Erbacci, Anton Frank, Heiner Igel, Andreas Rietbrock, Horst Schwichtenberg, Jean-Pierre Vilotte

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Advanced application environments for seismic analysis help geoscientists 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 seismology 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 scalability 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.
Original languageEnglish
Title of host publicationSupercomputing
Subtitle of host publication28th International Supercomputing Conference, ISC 2013, Leipzig, Germany, June 16-20, 2013. Proceedings
EditorsJulian Martin Kunkel, Thomas Ludwig, Hans Werner Meuer
PublisherSpringer Berlin Heidelberg
Number of pages12
ISBN (Electronic)978-3-642-38750-0
ISBN (Print)978-3-642-38749-4
Publication statusPublished - 2013

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


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