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Evaluation of Xilinx Deep Learning Processing Unit under Neutron Irradiation

Instrumentation and Detectors 2022-06-07 v1 Artificial Intelligence Hardware Architecture
Authors: D. Agiakatsikas , N. Foutris , A. Sari , V. Vlagkoulis , I. Souvatzoglou , M. Psarakis , M. Luján , M. Kastriotou , C. Cazzaniga
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Abstract

This paper studies the dependability of the Xilinx Deep-Learning Processing Unit (DPU) under neutron irradiation. It analyses the impact of Single Event Effects (SEEs) on the accuracy of the DPU running the resnet50 model on a Xilinx Ultrascale+ MPSoC.

Cite

@article{arxiv.2206.01981,
  title  = {Evaluation of Xilinx Deep Learning Processing Unit under Neutron Irradiation},
  author = {D. Agiakatsikas and N. Foutris and A. Sari and V. Vlagkoulis and I. Souvatzoglou and M. Psarakis and M. Luján and M. Kastriotou and C. Cazzaniga},
  journal= {arXiv preprint arXiv:2206.01981},
  year   = {2022}
}

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