An on-board algorithm implementation on an embedded GPU: A space case study

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ProjectCOMPUTACION DE ALTAS PRESTACIONES VII (MINECO-TIN2015-65316-P)
SuPerCom - Sustainable Performance for High-Performance Embedded Computing Systems (EC-H2020-772773)

Abstract

On-board processing requirements of future space missions are constantly increasing, calling for new hardware than the traditional ones used in space. Embedded GPUs are an attractive candidate offering both high performance capabilities and low power consumption, but there are no complex industrial case studies from the space domain demonstrating these advantages. In this paper we present the GPU parallelisation of an on-board algorithm, as well as its performance on a promising embedded GPU COTS platform targeting critical systems.

CitationRodríguez, I. [et al.]. An on-board algorithm implementation on an embedded GPU: A space case study. A: Design, Automation and Test in Europe Conference and Exhibition. "Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE 2020): 09 to 13 March, 2020, Grenoble, France". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 1718-1719. ISBN 978-3-9819263-4-7. DOI 10.23919/DATE48585.2020.9116538.

URIhttp://hdl.handle.net/2117/334966

DOI10.23919/DATE48585.2020.9116538

ISBN978-3-9819263-4-7

Publisher versionhttps://ieeexplore.ieee.org/document/9116538

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