Evidences of stochastic Bayesian machines robustness against SEUs and SETs

@article{Coelho2016EvidencesOS,
  title={Evidences of stochastic Bayesian machines robustness against SEUs and SETs},
  author={Alexandre Augusto Coelho and M. Solinas and Raphael Laurent and Juan Fraire and Emmanuel Mazer and Nacer-Eddine Zergainoh and Said Karaoui and Raoul Velazco},
  journal={2016 16th European Conference on Radiation and Its Effects on Components and Systems (RADECS)},
  year={2016},
  pages={1-5}
}
This work revisits the stochastic computation paradigm as a way to implement architectures dedicated to Bayesian computation. It is assumed that Stochastic Bayesian Machines (SMBs) are intrinsically tolerant to the effects of radiation. However, practical assessment is mandatory before considering SBMs in hazardous environments. Results of fault-injection campaigns performed at the RTL level provide the first evidences of SBMs robustness with respect to SEUs and SETs.