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Multi-core-CPU and GPU-accelerated radiative transfer models used for trace gas retrieval

Efremenko, Dmitry and Loyola, Diego and Doicu, Adrian and Spurr, Robert (2014) Multi-core-CPU and GPU-accelerated radiative transfer models used for trace gas retrieval. In: Proceedings of the 2014 conference on Big Data from Space (BiDS'14), pp. 259-262. Publications Office of the European Union. Big Data From Space (BiDS’14), 12.-14. Nov. 2014, Frascati, Italy. DOI: 10.2788/1823 ISBN 978-92-79-43252-1 ISSN 1831-9424

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Official URL: http://dx.doi.org/10.2788/1823

Abstract

The future atmospheric composition Sentinel missions will generate two orders of magnitude more data than the current missions and the operational processing of these big data is a big challenge. The trace gas retrieval from remote sensing data usually requires high-performance radiative transfer model (RTM) simulations and the RTM are usually the bottleneck for the operational processing of the satellite data. To date, multi-core CPUs and also Graphical Processing Units (GPUs) have been used for highly intensive parallel computations. In this paper, we are comparing multi-core and GPU implementations of an RTM based on the discrete ordinate solution method. With GPUs, we have achieved a 20x-40x speed-up for the multi-stream RTM, and 50x speed-up for the two-stream RTM with respect to the original single-threaded CPU codes. Based on these performance tests, an optimal workload distribution scheme between GPU and CPU is proposed. Finally, we discuss the performance obtained with the multi-core-CPU and GPU implementations of the RTM.

Item URL in elib:https://elib.dlr.de/92919/
Document Type:Conference or Workshop Item (Speech)
Title:Multi-core-CPU and GPU-accelerated radiative transfer models used for trace gas retrieval
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Efremenko, Dmitrydmitry.efremenko (at) dlr.deUNSPECIFIED
Loyola, Diegodiego.loyola (at) dlr.deUNSPECIFIED
Doicu, Adrianadrian.doicu (at) dlr.deUNSPECIFIED
Spurr, RobertRT SolutionsUNSPECIFIED
Date:2014
Journal or Publication Title:Proceedings of the 2014 conference on Big Data from Space (BiDS'14)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.2788/1823
Page Range:pp. 259-262
Editors:
EditorsEmail
Soille, P.UNSPECIFIED
Marchetti, P.G.UNSPECIFIED
Publisher:Publications Office of the European Union
ISSN:1831-9424
ISBN:978-92-79-43252-1
Status:Published
Keywords:Radiative transfer models; discrete ordinate method; CUDA; heterogeneous computing
Event Title:Big Data From Space (BiDS’14)
Event Location:Frascati, Italy
Event Type:international Conference
Event Dates:12.-14. Nov. 2014
Organizer:ESA
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Informationstechnische Systeme für die Fernerkundung (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Efremenko, Dr Dmitry
Deposited On:02 Dec 2014 10:38
Last Modified:02 Dec 2014 10:38

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