An On-board Algorithm Implementation on an Embedded GPU: A Space Case Study

Iván Rodriguez, Leonidas Kosmidis, Olivier Notebaert, Francisco J. Cazorla, David Steenari

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.