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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


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
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
Spurr, RobertRT SolutionsUNSPECIFIED
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 ISI Web of Science:No
DOI :10.2788/1823
Page Range:pp. 259-262
EditorsEmailEditor's ORCID iD
Publisher:Publications Office of the European Union
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
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 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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