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Data-intensive computing in radiative transfer modelling

Efremenko, Dmitry and Loyola, Diego and Doicu, Adrian and Trautmann, Thomas (2016) Data-intensive computing in radiative transfer modelling. In: Proceedings of the 2016 conference on Big Data from Space (BiDS'16), pp. 188-191. EU Book Shop, Santa Cruz de Tenerife, Spain. Big Data from Space (BiDS’16), 15-17 March 2016, Santa Cruz de Tenerife, Spain. doi: 10.2788/854791. ISBN 978-92-79-56980-7. ISSN 1831-9424.

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Official URL: http://bookshop.europa.eu/is-bin/INTERSHOP.enfinity/WFS/EU-Bookshop-Site/en_GB/-/EUR/ViewPublication-Start?PublicationKey=LBNA27775


The operational processing of remote sensing data requires high-performance radiative transfer model (RTM) simulations. To date, considerable success has been achieved in dimensionality reduction techniques as well as in heterogeneous multi-CPU/GPU computing for highly intensive parallel computations. We have developed several techniques for accelerating the radiative transfer solver. They include (1) analytical methods which allow to compute set of atmospheric scenarios in one RTM call; (2) dimensionality reduction of the datasets, and (3) GPU-computing using CUDA framework. These techniques provide almost 300x cumulative speed-up for the RTM with respect to the original single-threaded CPU code. In this paper, we analyze the applicability of the proposed methods to a practical problem of total ozone column retrieval from UV-backscatter measurements.

Item URL in elib:https://elib.dlr.de/103556/
Document Type:Conference or Workshop Item (Speech)
Title:Data-intensive computing in radiative transfer modelling
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Efremenko, Dmitrydmitry.efremenko (at) dlr.deUNSPECIFIED
Loyola, Diegodiego.loyola (at) dlr.deUNSPECIFIED
Doicu, AdrianAdrian.Doicu (at) dlr.deUNSPECIFIED
Trautmann, Thomasthomas.trautmann (at) dlr.deUNSPECIFIED
Date:March 2016
Journal or Publication Title:Proceedings of the 2016 conference on Big Data from Space (BiDS'16)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.2788/854791
Page Range:pp. 188-191
EditorsEmailEditor's ORCID iD
Publisher:EU Book Shop
Keywords:Radiative transfer models; discrete ordinate; CUDA; heterogeneous computing; dimensionality reduction
Event Title:Big Data from Space (BiDS’16)
Event Location:Santa Cruz de Tenerife, Spain
Event Type:international Conference
Event Dates:15-17 March 2016
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Spektrometrische Verfahren und Konzepte der Fernerkundung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Efremenko, Dr Dmitry
Deposited On:22 Mar 2016 09:53
Last Modified:31 Jul 2019 20:00

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