2013 14th European Conference on Radiation and Its Effects on Components and Systems (RADECS) 2013
DOI: 10.1109/radecs.2013.6937381
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Efficient mitigation of data and control flow errors in microprocessors

Abstract: Abstract-The use of microprocessor-based systems is gaining importance in application domains where safety is a must. For this reason, there is a growing concern about the mitigation of SEU and SET effects. This paper presents a new hybrid technique aimed to protect both the data and the control-flow of embedded applications running on microprocessors. On one hand, the approach is based on software redundancy techniques for correcting errors produced in the data. On the other hand, control-flow errors can be d… Show more

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Cited by 10 publications
(15 citation statements)
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References 25 publications
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“…In [28], Meixner and Sorin have done CFC in software and redundancy on hardware by duplicating the hardware modules. In [29], Parra et al have done the reverse. An additional hardware module is used to check the CFC and redundancy is done at the software level.…”
Section: Related Workmentioning
confidence: 99%
“…In [28], Meixner and Sorin have done CFC in software and redundancy on hardware by duplicating the hardware modules. In [29], Parra et al have done the reverse. An additional hardware module is used to check the CFC and redundancy is done at the software level.…”
Section: Related Workmentioning
confidence: 99%
“…Other approaches have been proposed that make a more elaborated use of the trace information. In [23], a hybrid technique is proposed using the trace interface to harden the execution flow while data errors are handled with SWIFT-R technique. A new technique was proposed in [6] that compares the program flow information retrieved from two different points: the trace interface and the memory bus.…”
Section: Related Workmentioning
confidence: 99%
“…The CFEs detection technology can be divided into hardware-based methods [8][9][10], mixed software-hardware methods [11][12][13], and software-based control flow detection technology. The former requires additional hardware components to detect CFEs.…”
Section: Introductionmentioning
confidence: 99%