Presentation
Validation of Radiation Hardened High Performance Spaceflight Computing Processor and Co-Processors for Space AI and Orbital Data Center
DescriptionAI is approaching its next major infrastructure frontier: space. The critical needs for AI in space demand high-performance fault-tolerant computing to support future spacecraft autonomy, in-orbit data processing and AI training & inferencing in orbital data centers. Our space computing research evaluates the implementation of AI/ML algorithms on next-generation multi-core processors, including High Performance Spaceflight Computing (HPSC) processors, Snapdragon VOXL2, AMD Xilinx Versal, and other processors, with the objective of achieving real-time computation while improving power efficiency and system reliability onboard spacecraft. Beyond computational performance, this study strengthens fault tolerance by leveraging HPSC's dual-core lockstep architecture and multi-core redundancy computations to implement fault protection methods in "static" and "dynamic" situations. By implementing targeted fault mitigation strategies at critical points in the computation pipeline, the approach ensures mission-critical reliability by reducing the impact of radiation-induced failures and hardware malfunctions in deep-space operations. We discuss a scalable, energy-efficient, and fault-tolerant computing architecture for future planetary exploration missions. This study provides a comprehensive evaluation of next-generation space processors and co-processors, offering key insights into high-performance, autonomous space computing solutions that balance speed, power efficiency, and mission-critical reliability. The advancements presented are directly applicable to AI applied to space exploration missions and orbital data centers.
Event Type
Research Special Session
TimeTuesday, July 2811:00am - 11:30am PDT
LocationMtg Room 201A