Session

Technical Poster Session 2: Command & Data Handling

Location

Utah State University, Logan, UT

Abstract

The path towards a multi-planetary species passes through the implementation of disruptive technological innovation. Artificial Intelligence and autonomy on spacecraft will be a fundamental part of this future. Hence, leveraging on-the-edge AI accelerators, such as FPGAs, GPUs, VPUs, ASICs, will constitute an essential component of the spacecraft hardware of tomorrow.

This work presents a comparative work, specifically targeted to the use of on-board satellites.

The tested platforms are Intel Myriad X, Nvidia Jetson Nano, and CPU (x64 architecture)

Available for download on Saturday, August 07, 2021

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Aug 7th, 12:00 AM

On-Board Deep Learning for Payload Data Processing: Hardware Performance Comparison

Utah State University, Logan, UT

The path towards a multi-planetary species passes through the implementation of disruptive technological innovation. Artificial Intelligence and autonomy on spacecraft will be a fundamental part of this future. Hence, leveraging on-the-edge AI accelerators, such as FPGAs, GPUs, VPUs, ASICs, will constitute an essential component of the spacecraft hardware of tomorrow.

This work presents a comparative work, specifically targeted to the use of on-board satellites.

The tested platforms are Intel Myriad X, Nvidia Jetson Nano, and CPU (x64 architecture)