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

doi:10.1007/978-3-642-38750-0_5

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 proceeding › Conference contribution

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.

Original language	English
Title of host publication	Supercomputing
Subtitle of host publication	28th International Supercomputing Conference, ISC 2013, Leipzig, Germany, June 16-20, 2013. Proceedings
Editors	Julian Martin Kunkel, Thomas Ludwig, Hans Werner Meuer
Publisher	Springer Berlin Heidelberg
Pages	55-66
Number of pages	12
ISBN (Electronic)	978-3-642-38750-0
ISBN (Print)	978-3-642-38749-4
DOIs	https://doi.org/10.1007/978-3-642-38750-0_5
Publication status	Published - 2013

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Berlin Heidelberg
Volume	7905
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Access to Document

10.1007/978-3-642-38750-0_5

http://dx.doi.org/10.1007/978-3-642-38750-0_5

Virtual Earthquake and seismology Research Community in Europe e-science environment (VERCE)
Atkinson, M. & Parsons, M.
EU government bodies
1/10/11 → 30/09/15
Project: Research

Cite this

Carpené, M., Klampanos, I. A., Leong, S., 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, A., Schwichtenberg, H., & Vilotte, J-P. (2013). Towards Addressing CPU-Intensive Seismological Applications in Europe. In J. M. Kunkel, T. Ludwig, & H. W. Meuer (Eds.), Supercomputing: 28th International Supercomputing Conference, ISC 2013, Leipzig, Germany, June 16-20, 2013. Proceedings (pp. 55-66). (Lecture Notes in Computer Science; Vol. 7905). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-38750-0_5

Carpené, Michele ; Klampanos, Iraklis A ; Leong, SiewHoon et al. / Towards Addressing CPU-Intensive Seismological Applications in Europe. Supercomputing: 28th International Supercomputing Conference, ISC 2013, Leipzig, Germany, June 16-20, 2013. Proceedings. editor / Julian Martin Kunkel ; Thomas Ludwig ; Hans Werner Meuer. Springer Berlin Heidelberg, 2013. pp. 55-66 (Lecture Notes in Computer Science).

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title = "Towards Addressing CPU-Intensive Seismological Applications in Europe",

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{\textquoteright}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.",

author = "Michele Carpen{\'e} and Klampanos, {Iraklis A} and SiewHoon Leong and Emanuele Casarotti and Peter Danecek and Graziella Ferini and Andr{\'e} Gem{\"u}nd and Amrey Krause and Lion Krischer and Federica Magnoni and Marek Simon and Alessandro Spinuso and Luca Trani and Malcolm Atkinson and Giovanni Erbacci and Anton Frank and Heiner Igel and Andreas Rietbrock and Horst Schwichtenberg and Jean-Pierre Vilotte",

year = "2013",

doi = "10.1007/978-3-642-38750-0_5",

language = "English",

isbn = "978-3-642-38749-4",

series = "Lecture Notes in Computer Science",

publisher = "Springer Berlin Heidelberg",

pages = "55--66",

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}

Carpené, M, Klampanos, IA, Leong, S, 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, A, Schwichtenberg, H & Vilotte, J-P 2013, Towards Addressing CPU-Intensive Seismological Applications in Europe. in JM Kunkel, T Ludwig & HW Meuer (eds), Supercomputing: 28th International Supercomputing Conference, ISC 2013, Leipzig, Germany, June 16-20, 2013. Proceedings. Lecture Notes in Computer Science, vol. 7905, Springer Berlin Heidelberg, pp. 55-66. https://doi.org/10.1007/978-3-642-38750-0_5

Towards Addressing CPU-Intensive Seismological Applications in Europe. / Carpené, Michele; Klampanos, Iraklis A; Leong, SiewHoon et al.

Supercomputing: 28th International Supercomputing Conference, ISC 2013, Leipzig, Germany, June 16-20, 2013. Proceedings. ed. / Julian Martin Kunkel; Thomas Ludwig; Hans Werner Meuer. Springer Berlin Heidelberg, 2013. p. 55-66 (Lecture Notes in Computer Science; Vol. 7905).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Towards Addressing CPU-Intensive Seismological Applications in Europe

AU - Carpené, Michele

AU - Klampanos, Iraklis A

AU - Leong, SiewHoon

AU - Casarotti, Emanuele

AU - Danecek, Peter

AU - Ferini, Graziella

AU - Gemünd, André

AU - Krause, Amrey

AU - Krischer, Lion

AU - Magnoni, Federica

AU - Simon, Marek

AU - Spinuso, Alessandro

AU - Trani, Luca

AU - Atkinson, Malcolm

AU - Erbacci, Giovanni

AU - Frank, Anton

AU - Igel, Heiner

AU - Rietbrock, Andreas

AU - Schwichtenberg, Horst

AU - Vilotte, Jean-Pierre

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-642-38750-0_5

DO - 10.1007/978-3-642-38750-0_5

M3 - Conference contribution

SN - 978-3-642-38749-4

T3 - Lecture Notes in Computer Science

SP - 55

EP - 66

BT - Supercomputing

A2 - Kunkel, Julian Martin

A2 - Ludwig, Thomas

A2 - Meuer, Hans Werner

PB - Springer Berlin Heidelberg

ER -

Carpené M, Klampanos IA, Leong S, Casarotti E, Danecek P, Ferini G et al. Towards Addressing CPU-Intensive Seismological Applications in Europe. In Kunkel JM, Ludwig T, Meuer HW, editors, Supercomputing: 28th International Supercomputing Conference, ISC 2013, Leipzig, Germany, June 16-20, 2013. Proceedings. Springer Berlin Heidelberg. 2013. p. 55-66. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-38750-0_5

Towards Addressing CPU-Intensive Seismological Applications in Europe

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Virtual Earthquake and seismology Research Community in Europe e-science environment (VERCE)

Cite this