The emerging need for fast and power-efficient AI/ML deployment on-board spacecraft has forced the space industry to examine specialized accelerators, which have been successfully used in terrestrial applications. Towards this direction, the current work introduces a very heterogeneous co-processing architecture that is built around UltraScale+ MPSoC and its programmable DPU, as well as commercial AI/ML accelerators such as MyriadX VPU and Edge TPU. The proposed architecture, called MPAI, handles networks of different size/complexity and accommodates speed-accuracy-energy trade-offs by exploiting the diversity of accelerators in precision and computational power. This brief provides technical background and reports preliminary experimental results and outcomes.
@article{arxiv.2409.12258,
title = {MPAI: A Co-Processing Architecture with MPSoC & AI Accelerators for Vision Applications in Space},
author = {Vasileios Leon and Panagiotis Minaidis and Dimitrios Soudris and George Lentaris},
journal= {arXiv preprint arXiv:2409.12258},
year = {2025}
}
Comments
Accepted for publication at the 31st IEEE ICECS Conference, 18-20 Nov, 2024, Nancy, France