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

Schwenk, Kurt and Ulmer, Moritz and Peng, Ting (2018) ScOSA: application development for a high-performance space qualified onboard computing platform. In: Proceedings of SPIE, VIII. SPIE Remote Sensing. Proc. SPIE 10792, High-Performance Computing in Geoscience and Remote Sensing VIII, 10. - 13. September 2018, Berlin, Germany. DOI: 10.1117/12.2325548

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Abstract

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.

Item URL in elib:https://elib.dlr.de/122083/
Document Type:Conference or Workshop Item (Speech)
Title:ScOSA: application development for a high-performance space qualified onboard computing platform
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schwenk, KurtKurt.Schwenk (at) dlr.deUNSPECIFIED
Ulmer, MoritzMoritz.Ulmer (at) dlr.dehttps://orcid.org/0000-0002-5620-8412
Peng, TingTing.Peng (at) dlr.dehttps://orcid.org/0000-0002-0680-2376
Date:13 September 2018
Journal or Publication Title:Proceedings of SPIE
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
Volume:VIII
DOI :10.1117/12.2325548
Publisher:SPIE Remote Sensing
Series Name:High-Performance Computing in Geoscience and Remote Sensing
Status:Published
Keywords:image processing, space hardware, high performance, Distributed Systems, reconfiguration
Event Title:Proc. SPIE 10792, High-Performance Computing in Geoscience and Remote Sensing VIII
Event Location:Berlin, Germany
Event Type:international Conference
Event Dates:10. - 13. September 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Scosa Onboard Computing
Location: Oberpfaffenhofen
Institutes and Institutions:Space Operations and Astronaut Training > Space Flight Technology
Institut of Simulation and Software Technology > Software for Space Systems and Interactive Visualisation
Deposited By: Ulmer, Moritz
Deposited On:20 Nov 2018 10:41
Last Modified:31 Jul 2019 20:20

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