Advertisement

Towards Addressing CPU-Intensive Seismological Applications in Europe

  • Michele Carpené
  • Iraklis A. Klampanos
  • Siew Hoon 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
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7905)

Abstract

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 ( http://verce.eu/ ) 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.

Keywords

Processing Element Forward Modelling Seismic Station Message Passing Interface Discontinuous Galerkin 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Lecarpentier, D.: Towards a collaborative data infrastructure for science. iSGTW, International Science Grid This Week (2012)Google Scholar
  2. 2.
    Martin, P., Yaikhom, G.: Definition of the DISPEL Language. In: Atkinson, M., Baxter, R., Brezany, P., Corcho, O., Galea, M., van Hemert, J., Parsons, M., Snelling, D. (eds.) The DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, pp. 203–236. John Wiley & Sons Ltd. (April 2013)Google Scholar
  3. 3.
    Atkinson, M., Galea, M., Liew, C.S., Martin, P.: ADMIRE D2.9 — final report on the admire architecture, with an assessment and proposals for its development (2011), http://admire-project.eu
  4. 4.
    Liew, C.S.: Optimisation of the Enactment of Fine-Grained Distributed Data-Intensive Workflows. PhD thesis, School of Informatics, University of Edinburgh (2012)Google Scholar
  5. 5.
    Tromp, J., Liu, D.K., Spectral-element, Q.: adjoint methods in seismology. Communications in Computational Physics 3(1-32) (2008)Google Scholar
  6. 6.
    Peter, D., Komatitsch, D., Luo, Y., Martin, R., Goff, N.L., Casarotti, E., Loher, P.L., Magnoni, F., Liu, Q., Blitz, C., Nissen-Meyer, T., Basini, P., Tromp, J.: Forward and adjoint simulations of seismic wave propagation on fully unstructured hexahedral meshes. Geophys. J. Int. 186(2), 721–739 (2011)CrossRefGoogle Scholar
  7. 7.
    Cockburn, B., Karniadakis, G., Shu, C.: Discontinuous galerkin methods, theory, computation and applications. LNCSE, vol. 11. Springer, Berlin (2000)Google Scholar
  8. 8.
    De la Puente, J., Käser, M., Dumbser, M., Igel, H.: An arbitrary high a order discontinuous galerkin method for elastic waves on unstructured meshes. IV. Anisotropy. Geophys. J. Int. 169(3), 1210–1228 (2007)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Michele Carpené
    • 1
  • Iraklis A. Klampanos
    • 2
  • Siew Hoon Leong
    • 3
  • Emanuele Casarotti
    • 4
  • Peter Danecek
    • 4
  • Graziella Ferini
    • 1
  • André Gemünd
    • 5
  • Amrey Krause
    • 6
  • Lion Krischer
    • 7
  • Federica Magnoni
    • 4
  • Marek Simon
    • 7
  • Alessandro Spinuso
    • 8
  • Luca Trani
    • 8
  • Malcolm Atkinson
    • 2
  • Giovanni Erbacci
    • 1
  • Anton Frank
    • 3
  • Heiner Igel
    • 7
  • Andreas Rietbrock
    • 10
  • Horst Schwichtenberg
    • 5
  • Jean-Pierre Vilotte
    • 9
  1. 1.CINECABolognaItaly
  2. 2.School of InformaticsUniversity of EdinburghUK
  3. 3.Leibniz Supercomputing Centre (LRZ)GarchingGermany
  4. 4.Istituto Nazionale di Geofisica e Vulcanologia (INGV)RomeItaly
  5. 5.Fraunhofer Institute for Algorithms and Scientific Computing SCAIGermany
  6. 6.Edinburgh Parallel Computing Centre (EPCC)University of EdinburghUK
  7. 7.Department of Earth and Environmental SciencesLudwig-Maximilianis-UniversityGermany
  8. 8.The Royal Netherlands Meteorological Institute (KNMI)Netherlands
  9. 9.Institut de Physique du Globe de Paris (IPGP)France
  10. 10.Department of Earth, Ocean and Ecological SciencesUniversity of LiverpoolUK

Personalised recommendations