MPAI: A Co-Processing Architecture with MPSoC & AI Accelerators for Vision Applications in Space

Fuente: arXiv
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Hauptverfasser: Leon, Vasileios, Minaidis, Panagiotis, Soudris, Dimitrios, Lentaris, George
Format: Preprint
Veröffentlicht: 2024
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author Leon, Vasileios
Minaidis, Panagiotis
Soudris, Dimitrios
Lentaris, George
author_facet Leon, Vasileios
Minaidis, Panagiotis
Soudris, Dimitrios
Lentaris, George
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_12258
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle MPAI: A Co-Processing Architecture with MPSoC & AI Accelerators for Vision Applications in Space
Leon, Vasileios
Minaidis, Panagiotis
Soudris, Dimitrios
Lentaris, George
Hardware Architecture
Emerging Technologies
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.
title MPAI: A Co-Processing Architecture with MPSoC & AI Accelerators for Vision Applications in Space
topic Hardware Architecture
Emerging Technologies
url https://arxiv.org/abs/2409.12258