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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 - The International Society for Optical Engineering, VIII. SPIE Remote Sensing 2018, 10.-13. Sep. 2018, Berlin. doi: 10.1117/12.2325548. ISSN 0277-786X.

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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
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schwenk, KurtUNSPECIFIEDhttps://orcid.org/0000-0002-4305-9702UNSPECIFIED
Ulmer, MoritzUNSPECIFIEDhttps://orcid.org/0000-0002-5620-8412UNSPECIFIED
Peng, TingUNSPECIFIEDhttps://orcid.org/0000-0002-0680-2376UNSPECIFIED
Date:13 September 2018
Journal or Publication Title:Proceedings of SPIE - The International Society for Optical Engineering
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Series Name:High-Performance Computing in Geoscience and Remote Sensing
Keywords:image processing, space hardware, high performance, Distributed Systems, reconfiguration
Event Title:SPIE Remote Sensing 2018
Event Location:Berlin
Event Type:international Conference
Event Dates:10.-13. Sep. 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Scosa Onboard Computing (old)
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:04 Mar 2022 11:56

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