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ScOSA: application development for a high-performance space qualified onboard computing platform

Schwenk, Kurt und Ulmer, Moritz und Peng, Ting (2018) ScOSA: application development for a high-performance space qualified onboard computing platform. In: Proceedings of SPIE - The International Society for Optical Engineering, VIII. SPIE Remote Sensing 2018, 2018-09-10 - 2018-09-13, Berlin. doi: 10.1117/12.2325548. ISSN 0277-786X.

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Kurzfassung

Future onboard computing applications require significantly greater computing performance than is currently provided by standard space qualified onboard computers. Examples of such applications include onboard data analysis and (rendezvous) navigation tasks. Therefore, the German Aerospace Center is currently developing Scalable On-board Computing for Space Avionics (ScOSA). The aim of the ScOSA onboard computing platform is to deliver high performance, reliability, scalability and cost-efficiency. To reach these properties, a distributed computing platform approach is used, by which reliable radiation hardened computing nodes (LEON3's) are combined with several high performance computing nodes (Xilinx Zynq), connected over a high-bandwidth SpaceWire network. The execution platform consists of a distributed task-based framework. In this paper, the architecture, features and capabilities of the ScOSA onboard computing platform are presented from an application developer's view. A brief summary of the design goals and the general hardware and software architecture of the ScOSA system will be introduced. This is followed by a description of the programming model and the application interface, with a focus on how the distributed nature of the ScOSA system is handled. It will also be shown how an existing application can be integrated in the ScOSA system. The main part of this paper will focus on the computing performance attainable from the ScOSA platform. There will be a comparison of the computing performance of an example application executed on the ScOSA system versus a standard PC. It will also be demonstrated how the performance of an application can be improved by adapting it to the distributed computing architecture of the ScOSA platform. Furthermore, a short overview of the failure detection and recovery features of the ScOSA platform are described and how they can be integrated into an application.

elib-URL des Eintrags:https://elib.dlr.de/122083/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:ScOSA: application development for a high-performance space qualified onboard computing platform
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Schwenk, KurtKurt.Schwenk (at) dlr.dehttps://orcid.org/0000-0002-4305-9702NICHT SPEZIFIZIERT
Ulmer, MoritzMoritz.Ulmer (at) dlr.dehttps://orcid.org/0000-0002-5620-8412NICHT SPEZIFIZIERT
Peng, TingTing.Peng (at) dlr.dehttps://orcid.org/0000-0002-0680-2376NICHT SPEZIFIZIERT
Datum:13 September 2018
Erschienen in:Proceedings of SPIE - The International Society for Optical Engineering
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
Band:VIII
DOI:10.1117/12.2325548
Name der Reihe:High-Performance Computing in Geoscience and Remote Sensing
ISSN:0277-786X
Status:veröffentlicht
Stichwörter:image processing, space hardware, high performance, Distributed Systems, reconfiguration
Veranstaltungstitel:SPIE Remote Sensing 2018
Veranstaltungsort:Berlin
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:10 September 2018
Veranstaltungsende:13 September 2018
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Technik für Raumfahrtsysteme
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R SY - Technik für Raumfahrtsysteme
DLR - Teilgebiet (Projekt, Vorhaben):R - Scosa Onboard Computing (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Raumflugbetrieb und Astronautentraining > Raumflugtechnologie
Institut für Simulations- und Softwaretechnik > Software für Raumfahrtsysteme und interaktive Visualisierung
Hinterlegt von: Ulmer, Moritz
Hinterlegt am:20 Nov 2018 10:41
Letzte Änderung:24 Apr 2024 20:26

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