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Evidences of Stochastic Bayesian Machines Robustness Against SEUs and SETs
- Source :
- IEEE European Conference on Radiation and its Effects on Components and Systems (RADECS'16), IEEE European Conference on Radiation and its Effects on Components and Systems (RADECS'16), Sep 2016, Bremen, Germany
- Publication Year :
- 2016
- Publisher :
- HAL CCSD, 2016.
-
Abstract
- International audience; This work revisits the stochastic computationparadigm as a way to implement architectures dedicated toBayesian computation. It is assumed that Stochastic BayesianMachines (SMBs) are intrinsically tolerant to the effects ofradiation. However, practical assessment is mandatory beforeconsidering SBMs in hazardous environments. Results of faultinjectioncampaigns performed at the RTL level provide the firstevidences of SBMs robustness with respect to SEUs and SETs.
- Subjects :
- 010308 nuclear & particles physics
Stochastic process
Computer science
business.industry
Computation
Bayesian probability
Probabilistic logic
02 engineering and technology
Machine learning
computer.software_genre
01 natural sciences
020202 computer hardware & architecture
PACS 8542
Robustness (computer science)
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Probability distribution
Artificial intelligence
[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics
business
computer
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- IEEE European Conference on Radiation and its Effects on Components and Systems (RADECS'16), IEEE European Conference on Radiation and its Effects on Components and Systems (RADECS'16), Sep 2016, Bremen, Germany
- Accession number :
- edsair.doi.dedup.....628332e744cf4f7c700632a5ef24059c