Data crowdsourcing is one of most remarkable results of pervasive and internet connected low-power devices making diverse and different “things” as a world wide distributed system. This paper is focused on a vertical application of GPGPU virtualization software exploitation targeted on high performance geographical data interpolation. We present an innovative implementation of the Inverse Distance Weight (IDW) interpolation algorithm leveraging on CUDA GPGPUs. We perform tests in both physical and virtualized environments in order to demonstrate the potential scalability in production. We present an use case related to high resolution bathymetry interpolation in a crowdsource data context.

Using GPGPU Accelerated Interpolation Algorithms for Marine Bathymetry Processing with On-Premises and Cloud Based Computational Resources / Marcellino, L.; Montella, R.; Kosta, S.; Galletti, A.; Di Luccio, D.; Santopietro, V.; Ruggieri, M.; Lapegna, M.; D’Amore, L.; Laccetti, G.. - 10778:(2018), pp. 14-24. (Intervento presentato al convegno International Conference on Parallel Processing and Applied Mathematics 2017 tenutosi a Lublin (Polonia) nel 10-13 / 9 / 2017) [10.1007/978-3-319-78054-2_2].

Using GPGPU Accelerated Interpolation Algorithms for Marine Bathymetry Processing with On-Premises and Cloud Based Computational Resources

Lapegna M.;D’Amore L.;Laccetti G.
2018

Abstract

Data crowdsourcing is one of most remarkable results of pervasive and internet connected low-power devices making diverse and different “things” as a world wide distributed system. This paper is focused on a vertical application of GPGPU virtualization software exploitation targeted on high performance geographical data interpolation. We present an innovative implementation of the Inverse Distance Weight (IDW) interpolation algorithm leveraging on CUDA GPGPUs. We perform tests in both physical and virtualized environments in order to demonstrate the potential scalability in production. We present an use case related to high resolution bathymetry interpolation in a crowdsource data context.
2018
978-331978053-5
Using GPGPU Accelerated Interpolation Algorithms for Marine Bathymetry Processing with On-Premises and Cloud Based Computational Resources / Marcellino, L.; Montella, R.; Kosta, S.; Galletti, A.; Di Luccio, D.; Santopietro, V.; Ruggieri, M.; Lapegna, M.; D’Amore, L.; Laccetti, G.. - 10778:(2018), pp. 14-24. (Intervento presentato al convegno International Conference on Parallel Processing and Applied Mathematics 2017 tenutosi a Lublin (Polonia) nel 10-13 / 9 / 2017) [10.1007/978-3-319-78054-2_2].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/717139
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