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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/async....
Article . 2013 . Peer-reviewed
License: STM Policy #29
Data sources: Crossref
DBLP
Conference object . 2023
Data sources: DBLP
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MTBF Bounds for Multistage Synchronizers

Authors: Salomon Beer; Jerome Cox; Tom Chaney; David M. Zar;

MTBF Bounds for Multistage Synchronizers

Abstract

Synchronizers are used to mitigate the effects of metastability in multiple clock domain System-on-Chip devices. In order to enable reliable synchronization, the synchronizer MTBF (Mean Time Between Failures) should be much longer than the product lifetime. To achieve such high margins, multistage synchronizers are used. Several simulation methods have been developed to determine their probability of failure and the number of stages to use. While simulation methods have improved in recent years, accurate analytical models for failure calculations are scant. Some previously published models do not reflect estimations of MTBF but only loose lower bounds that give rise to a high number of synchronizer stages reducing the overall system performance. Others provide improved accuracy but are difficult to operate and simulation for each stage is required. In this paper, we review published analytical models for MTBF calculations of multistage synchronizers. We show that existing models often underestimate MTBF, and in some cases they even overestimate it. A new model that calculates a MTBF lower bound with significantly smaller margins is introduced. These estimates are shown to be consistent with state of the art simulations and measurements. A method for calculating these estimates for a variety of applications is presented based on a limited number of intrinsic synchronizer parameters determined by simulation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Top 10%
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