# Achieving Dependability of AI Execution with Radiation Hardened Processors

arXiv: https://arxiv.org/abs/2504.03680 · HTML: https://mlsanity.com/paper/2504.03680/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Mar 2025.

## Built on by (most cited first, 1 of 1)

- [Quantized AI Inference on Constrained Embedded Platforms for Small-Satellite Settings](https://mlsanity.com/paper/2606.06528/) (2026)

## Abstract (arXiv)

The reliance on radiation-hardened hardware, essential for domains requiring high-dependability such as space, nuclear energy and medical applications, severely restricts the choice of components available for modern AI-intensive tasks, particularly for real-time AI-based classifications. To address this challenge, we propose leveraging the High Performance Data Processor (HPDP) as a radiation-hardened and low-power co-processor in conjunction with an optimized AI framework for efficient data processing. The HPDP's dynamic reconfiguration capabilities and dataflow-oriented architecture provide an ideal platform for executing AI-driven applications that demand low-latency, high-throughput streaming data processing. To fully utilize the co-processor's capabilities, we utilized Klepsydra's AI-runtime inference framework, which, due to its lock-free execution and efficient resource management, significantly enhances data processing throughput without increasing power consumption. Our approach entails programming the HPDP as a dedicated mathematical backend, enabling the AI framework to execute workloads directly on this co-processor without requiring additional hardware-specific coding. This paper presents the preliminary results of our implementation, describing the application domain, AI pipeline, key features of the HPDP architecture, and performance evaluation. Our solution demonstrates a significant advancement in deploying AI on radiation-hardened platforms by using the HPDP as a dependable, efficient, and reprogrammable co-processor, making it highly suitable for any application requiring dependable execution in any environment.