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dc.date.accessioned 2015-12-11T16:34:22Z
dc.date.available 2015-12-11T16:34:22Z
dc.date.issued 2015
dc.identifier.uri http://hdl.handle.net/10915/50143
dc.description.abstract Classical applications of Atmospheric Radiative Transfer Model (ARTM) for modelization of absorption coefficient line-by-line on the atmosphere consume large computational time since seconds up to a few minutes depending on the atmospheric characterization chosen. ARTM is used together with Ground- Based or Satellite measurements to retrieve atmospheric parameters such as ozone, water vapour and temperature profiles. Nowadays in the Atmospheric Observatory of Southern Patagonia (OAPA) at the Patagonian City of Río Gallegos have been deployed a Spectral Millimeter Wave Radiometer belonging Nagoya Univ. (Japan) with the aim of retrieve stratospheric ozone profiles between 20-80 Km. Around 2 GBytes of data are recorder by the instrument per day and the ozone profiles are retrieving using one hour integration spectral data, resulting at 24 profiles per day. Actually the data reduction is performed by Laser and Application Research Center (CEILAP) group using the Matlab package ARTS/QPACK2. Using the classical data reduction procedure, the computational time estimated per profile is between 4-5 minutes determined mainly by the computational time of the ARTM and matrix operations. We propose in this work first add a novel scheme to accelerate the processing speed of the ARTM using the powerful multi-threading setup of GPGPU based at Compute Unified Device Architecture (CUDA) and compare it with the existing schemes. Performance of the ARTM has been calculated using various settings applied on a NVIDIA graphic Card GeForce GTX 560 Compute Capability 2.1. Comparison of the execution time between sequential mode, Open-MP and CUDA has been tested in this paper. en
dc.format.extent 10 p. es
dc.language en es
dc.title Performance improvements of an atmospheric radiative transfer model on GPU-based platform using CUDA en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-987-3806-05-6 es
sedici.creator.person Salvador, Jacobo es
sedici.creator.person Sofía, Osiris es
sedici.creator.person Orte, Facundo es
sedici.creator.person Santos, Eder dos es
sedici.creator.person Oyama, Hirofumi es
sedici.creator.person Nagahama, Tomoo es
sedici.creator.person Mizuno, Akira es
sedici.creator.person Uribe Paredes, Roberto es
sedici.description.note XV Workshop de Procesamiento Distribuido y Paralelo (WPDP) es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.other radiative transfer model en
sedici.subject.other GPU en
sedici.subject.other openMP en
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2015-10
sedici.relation.event XXI Congreso Argentino de Ciencias de la Computación (Junín, 2015) es
sedici.subject.acmcss98 Parallel es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/50028 es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)