Name
Title | ||
|---|---|---|
NG-TEPHRA: A Massively Parallel, Nimrod/G-enabled Volcanic Simulation in the Grid and the Cloud |
Abstract | ||
|---|---|---|
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 Iraz\'u 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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/eScience.2010.27 | e-Science |
Keywords | Field | DocType |
new parameter set,ash distribution graphics,g-enabled volcanic simulation,non-homogeneous parameter sweep,cpu time,ash deposition,new parameter,advection-diffusion suzuki model,volcanic ash dispersion model,full parameter exploration,amazon ec2 cloud,diffusion model,pacific rim,tephra,dispersion,computational modeling,volcanic ash,cloud computing,volcanology,mathematical model,vents,application lifecycle,grid computing,diffusion,volcanoes | Nimrod,Grid computing,Pyroclastic rock,CPU time,Computer science,Massively parallel,Tephra,Volcanic ash,Distributed computing,Cloud computing | Conference |
ISBN | Citations | PageRank |
978-0-7695-4290-4 | 3 | 0.37 |
References | Authors | |
3 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Santiago Nunez | 1 | 4 | 0.81 |
| Blair Bethwaite | 2 | 49 | 5.67 |
| Jose Brenes | 3 | 5 | 1.18 |
| Gustavo Barrantes | 4 | 4 | 0.81 |
| Jose Castro | 5 | 3 | 0.37 |
| Eduardo Malavassi | 6 | 4 | 0.81 |
| David Abramson | 7 | 3302 | 393.08 |