Parallel conversion of satellite image information for a wind energy generation forecasting model

dc.creatorSouteras,Juan
dc.creatorFlevaris,Andrés
dc.creatorGadea,Germán
dc.creatorNesmachnow,Sergio
dc.creatorGutiérrez,Alejandro
dc.creatorCazes,Gabriel
dc.date2012-12-01
dc.date.accessioned2023-09-25T18:35:14Z
dc.date.available2023-09-25T18:35:14Z
dc.identifierhttp://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002012000300003
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8838435
dc.descriptionAbstract This paper presents an efficient parallel algorithm for the problem of converting satellite imagery in binary files. The algorithm was designed to update at global scale the land cover information used by the WRF climate model. We present the characteristics of the implemented algorithm, as well as the results of performance analysis and comparisons between two approaches to implement the algorithm. The performance analysis shows that the implemented parallel algorithm improves substantially against the sequential algorithm that solves the problem, obtaining a linear speedup.
dc.formattext/html
dc.languageen
dc.publisherCentro Latinoamericano de Estudios en Informática
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceCLEI Electronic Journal v.15 n.3 2012
dc.subjectWRF
dc.subjectHPC
dc.subjectMODIS
dc.subjectMPI
dc.subjectHDF
dc.subjectLanduse
dc.subjectCluster
dc.titleParallel conversion of satellite image information for a wind energy generation forecasting model
dc.typeinfo:eu-repo/semantics/article


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