Publications Conference paper · 2016

Evidences of Stochastic Bayesian Machines Robustness Against SEUs and SETs

A. Coelho, M. Solinas, R. Laurent, Juan A. Fraire, E. Mazer, Nacer-Eddine Zergainoh, S. Karaoui, and Raoul Velazco

Conference on Radiation Effects on Components and Systems (RADECS), pp. 1–5, 2016

Abstract

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 faultinjection campaigns performed at the RTL level provide the first evidences of SBMs robustness with respect to SEUs and SETs.

Cite

DOI 10.1109/radecs.2016.8093156

BibTeX

@inproceedings{coelho2016evidences,
  author    = {Coelho, A. and Solinas, M. and Laurent, R. and Fraire, Juan A. and Mazer, E. and Zergainoh, Nacer-Eddine and Karaoui, S. and Velazco, Raoul},
  title     = {Evidences of Stochastic Bayesian Machines Robustness Against {SEUs} and {SETs}},
  booktitle = {Conference on Radiation Effects on Components and Systems (RADECS)},
  pages     = {1--5},
  year      = {2016},
  doi       = {10.1109/radecs.2016.8093156}
}