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Proton Irradiation Characterization of an Open-Source ML Accelerator on a Zynq UltraScale+ MPSoC

Paper recorded by Signals 4 on 2026-09-04 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-04 on arXiv · recorded by Signals 4 on 2026-09-07

Category: cs.LG · 机器学习 · first seen 2026-09-07

Abstract

As spaceborne computing systems increasingly rely on neural network (NN) accelerators, the opacity of commercial, black-box architectures severely restricts the development of verifiable radiation mitigation strategies. Open-source, register-transfer level (RTL)-accessible accelerators resolve this limitation by enabling user-defined instrumentation, yet few have empirical radiation-response basel

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#121 most recent of 215 cs.LG papers we have recorded · ↑ newer: GLASS: Graph-Language Alignment with Spherical Scoring for Transferabl · ↓ older: PRICE: A Systematic Study of LLM Adaptation Choices for Bitcoin Price
Cite this page: Proton Irradiation Characterization of an Open-Source ML Accelerator on a Zynq UltraScale+ MPSoC: the #121 most recent of 215 cs.LG papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/proton-irradiation-characterization-of-an-open-source-ml-accelerator-on-a-zynq-u.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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