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Environmental Modelling & Software
Article . 2016 . Peer-reviewed
License: Elsevier TDM
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Article . 2016
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Article . 2016
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Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface

Authors: Massimiliano Alvioli; Rex L. Baum;

Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface

Abstract

We describe a parallel implementation of TRIGRS, the Transient Rainfall In- filtration and Grid-Based Regional Slope-Stability Model for the timing and distribution of rainfall-induced shallow landslides. We have parallelized the four time-demanding execution modes of TRIGRS, namely both the saturated and unsaturated model with finite and infinite soil depth options, within the Message Passing Interface framework. In addition to new features of the code, we outline details of the parallel implementation and show the performance gain with respect to the serial code. Results are obtained both on commercial hardware and on a high-performance multi-node machine, showing the different limits of applicability of the new code. We also discuss the implications for the application of the model on large-scale areas and as a tool for real-time landslide hazard monitoring.

Country
Italy
Keywords

TRIGRS, Shallow Landslides, Slope Stability, MPI

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
180
Top 1%
Top 1%
Top 1%
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