An Open Heterogeneous RISC-V AI Acceleration Architecture for Next-Generation Space Computers
2026-06-11 , Poster Island B

Integrating AI onboard satellites to reduce dependence on ground stations and facilitate quick orbital maneuvers demands a new class of onboard computers with enhanced processing power, real-time control capabilities, and robustness against the harsh space environment.
Astral is a fully open-source, highly parametric platform for RISC-V-based heterogeneous SoCs targeting reliable onboard control and AI acceleration for next-generation space computers.

Yvan Tortorella received the Ph.D. degree from the University of Bologna, Italy, in 2025, with a dissertation on RISC-V-based heterogeneous computing platforms for reliable space computing. He is currently with Fondazione Chips-IT, where he is a postdoctoral researcher and digital IC designer working on mixed-criticality space processors and AI accelerators.