2019
DOI: 10.1109/tdmr.2018.2886358
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Influence of Randomness During the Interpretation of Results From Single-Event Experiments on SRAMs

Abstract: After having carried out radiation experiments on memories, the detected bitflips must be classified into single bit upsets and multiple events to calculate the cross sections of different phenomena. There are some accepted procedures to determine if two bitflips are related. However, if there are enough bitflips, it is possible that unrelated pairs of errors appear in nearby cells and they are erroneously taken as a multiple event. In this paper, radiation experiments are studied as a special case of the urn-… Show more

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Cited by 9 publications
(22 citation statements)
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“…Unlike Eqs. 4-6, already tested in [14], (7), (9) & (10) need to be verified. Thus, a Monte Carlo analysis was performed injecting random SBUs in a simulated 4-Mb memory.…”
Section: A False 2-bit Multiple Eventsmentioning
confidence: 96%
See 4 more Smart Citations
“…Unlike Eqs. 4-6, already tested in [14], (7), (9) & (10) need to be verified. Thus, a Monte Carlo analysis was performed injecting random SBUs in a simulated 4-Mb memory.…”
Section: A False 2-bit Multiple Eventsmentioning
confidence: 96%
“…Previous studies [8], [14] have proposed equations to estimate the expected number of false 2-bit MCUs, when geometric methods are used to group bitflips in multiple events:…”
Section: A False 2-bit Multiple Eventsmentioning
confidence: 99%
See 3 more Smart Citations