NG-TEPHRA: A massively parallel, Nimrod/G-enabled volcanic simulation in the grid and the cloud

Nunez, Santiago, Bethwaite, Blair, Brenes, Jose, Barrantes, Gustavo, Castro, Jose, Malavassiz, Eduardo and Abramson, David (2010). NG-TEPHRA: A massively parallel, Nimrod/G-enabled volcanic simulation in the grid and the cloud. In: Proceedings: 2010 Sixth IEEE International Conference on e-Science: eScience 2010. 2010 6th IEEE International Conference on e-Science (eScience 2010), Brisbane, Australia, (129-136). 7-10 December 2010. doi:10.1109/eScience.2010.27


Author Nunez, Santiago
Bethwaite, Blair
Brenes, Jose
Barrantes, Gustavo
Castro, Jose
Malavassiz, Eduardo
Abramson, David
Title of paper NG-TEPHRA: A massively parallel, Nimrod/G-enabled volcanic simulation in the grid and the cloud
Conference name 2010 6th IEEE International Conference on e-Science (eScience 2010)
Conference location Brisbane, Australia
Conference dates 7-10 December 2010
Proceedings title Proceedings: 2010 Sixth IEEE International Conference on e-Science: eScience 2010
Place of Publication Piscataway, NJ, United States
Publisher I E E E
Publication Year 2010
Year available 2010
Sub-type Fully published paper
DOI 10.1109/eScience.2010.27
ISBN 9780769542904
9781424489572
Start page 129
End page 136
Total pages 8
Collection year 2010
Language eng
Abstract/Summary Volcanoes are a principal factor of hazard across the Pacific Rim, with their focus of interest mostly divided into pyroclastic flows and ash deposition. The latter has significantly more impact due to its widespread geographical reach and prolonged effects in human activities and health. TEPHRA is a volcanic ash dispersion model based on a simple version of the advection-diffusion Suzuki model, which has been revisited and modified for the Irazú volcano in Costa Rica. A full parameter exploration is necessary in this particular case (albeit not sufficient) due to scarce observational data. We present in this paper the model, its assumptions and limitations as well as application lifecycle with resulting ash distribution graphics. The computational experimental settings are described, in particular the use of Nimrod/G with respect to non-homogeneous parameter sweeps and its impact on execution time. We also analyze the implementation of a new parameter discard mechanism common to e-Science experiments where sequential generation of new parameter sets has to be complemented with an early verification in order to avoid allocation of CPU time to non-valid scenarios. Finally four sample 100K-scenario runs are analyzed for both traditional HPC clustering and Cloud computing resources in the Amazon EC2 Cloud.
Subjects 1701 Psychology
Keyword Ash dispersion
Cloud computing
Computational volcanology
Grid computing
Nimrod
Parametric sweep
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

 
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