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Estimating power consumption of multiple modular redundant designs in SRAM-based FPGAs for high dependable applications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Triple Modular redundancy technique is mostly used to mask transient faults in circuits operating in dependable systems. The generalization of this technique (known as nMR) allows the use of more than three redundant copies of the circuit to increase the reliability under multiple faults. The main drawback of nMR is its high power consumption, which usually implies in n times the power consumption of a single circuit. In this work, we show that such affirmation is far for being true in case of embedding the entire redundant system into a single SRAM-based FPGA. We estimate power consumption in some case-study circuits protected by nMR in SRAM-based FPGAs and compare to a proposed model that estimates power consumption penalty. Results demonstrate that nMR can be implemented with low power overhead in FPGAs and therefore it is a suitable technique for most applications synthesized into this type of programmable devices that need to cope with massive multiple faults.

Original languageEnglish
Title of host publication2014 24th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479954124
DOIs
StatePublished - 10 Nov 2014
Externally publishedYes
Event2014 24th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS 2014 - Palma de Mallorca, Spain
Duration: 29 Sep 20141 Oct 2014

Publication series

Name2014 24th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS 2014

Conference

Conference2014 24th International Workshop on Power and Timing Modeling, Optimization and Simulation, PATMOS 2014
Country/TerritorySpain
CityPalma de Mallorca
Period29/09/141/10/14

Keywords

  • FPGAs
  • Power consumption
  • nMR

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