Marine bathymetry processing through GPGPU virtualization in high performance cloud computing

Montella, Raffaele; Marcellino, Livia; Galletti, Ardelio; Luccio, Diana Di; Kosta, Sokol; Laccetti, Giuliano; Giunta, Giulio

doi:10.1002/cpe.4895

Cited by 7 publications

(5 citation statements)

References 54 publications

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“…Further improvements of the system will be represented by the enhancement of the model chain resolution thanks to the progress in cloud computing (Montella et al, 2015) as well as to the approach based on GPGPU (general-purpose computing on graphics processing units) (Di Lauro et al, 2012;Montella et al, 2018;Marcellino et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…This methodology, giving rise to the signal reported in Fig. 6e, is described in the extensive literature on coastal video monitoring (Takewaka and Nakamura, 2001;Ojeda et al, 2008;Zhang and Zhang, 2008). According to Vousdoukas et al (2012b), the run-up excursion was identified by using the threshold method supplied by Otsu (1975), which is able to identify the wet-dry boundary by pixel colour.…”

Section: Altimeter and Video Monitoringmentioning

confidence: 99%

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Wave run-up prediction and observation in a micro-tidal beach

Luccio

Benassai

Budillon

et al. 2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Extreme weather events bear a significant impact on coastal human activities and on the related economy. Forecasting and hindcasting the action of sea storms on piers, coastal structures and beaches is an important tool to mitigate their effects. To this end, with particular regard to low coasts and beaches, we have developed a computational model chain based partly on open-access models and partly on an ad-hoc-developed numerical calculator to evaluate beach wave run-up levels and flooding. The offshore wave simulations are carried out with a version of the WaveWatch III model, implemented by CCMMMA (Campania Centre for Marine and Atmospheric Monitoring and Modelling – University of Naples Parthenope), validated with remote-sensing data. The waves thus computed are in turn used as initial conditions for the run-up calculations, carried out with various empirical formulations; the results were finally validated by a set of specially conceived video-camera-based experiments on a micro-tidal beach located on the Ligurian Sea. Statistical parameters are provided on the agreement between the computed and observed values. It appears that, while the system is a useful tool to properly simulate beach flooding during a storm, empirical run-up formulas, when used in a coastal vulnerability context, have to be carefully chosen, applied and managed, particularly on gravel beaches.

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Section: Discussionmentioning

confidence: 99%

Section: Altimeter and Video Monitoringmentioning

confidence: 99%

Wave run-up prediction and observation in a micro-tidal beach

Luccio

Benassai

Budillon

et al. 2018

Nat. Hazards Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Further improvements of the system will be represented by the enhancement of the model chain resolution thanks to the progress in cloud computing (Montella et al, 2015) as well as to the approach based on GPGPU (general-purpose computing on graphics processing units) (Di Montella et al, 2018;Marcellino et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

Response Rev. #2

Luccio¹

2017

Preprint

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Extreme weather events bear a significant impact on coastal human activities and on the related economy. Forecasting and hindcasting the action of sea storms on piers, coastal structures and beaches is an important tool to mitigate their effects. To this end, with particular regard to low coasts and beaches, we have developed a computational model chain based partly on open-access models and partly on an ad-hoc-developed numerical calculator to evaluate beach wave run-up levels and flooding. The offshore wave simulations are carried out with a version of the Wave-Watch III model, implemented by CCMMMA (Campania Centre for Marine and Atmospheric Monitoring and Modelling -University of Naples Parthenope), validated with remote-sensing data. The waves thus computed are in turn used as initial conditions for the run-up calculations, carried out with various empirical formulations; the results were finally validated by a set of specially conceived video-camerabased experiments on a micro-tidal beach located on the Ligurian Sea. Statistical parameters are provided on the agreement between the computed and observed values. It appears that, while the system is a useful tool to properly simulate beach flooding during a storm, empirical run-up formulas, when used in a coastal vulnerability context, have to be carefully chosen, applied and managed, particularly on gravel beaches.

show abstract

“…In “Marine Bathymetry Processing Through GPGPU Virtualization in High Performance Cloud Computing” by Montella et al, the authors address the problem of marine bathymetry data processing and analysis via pervasive and internet‐connected sensors and low‐power distributed devices, by implementing a GP‐GPU virtualization service, for achieving high performance geographical data interpolation in a cloud computing scenario.…”

Section: Themes Of the Special Issuementioning

confidence: 99%