2003•Unpublished venueRequires access

Array partitioning: a methodology for reconfigurability and reconfiguration problems

Fausto Distante, Fabrizio Aghini Lombardi, Donatella Sciuto

Open publisher page 6 citations

Abstract

An approach to array fault tolerance is presented. A parametric tool for reconfigurability detection and reconfiguration of arrays is introduced. The underlying methodology is based on a partitioning algorithm to determine reconfigurability. After reconfiguration a compaction algorithm is used to optimize results. The application of this methodology to fault-stealing-based algorithms has shown good results in terms of the added required redundancy, even for fault distributions that were unreconfigurable when the reconfiguration algorithm was applied alone.>

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What this paper is about

An approach to array fault tolerance is presented. A parametric tool for reconfigurability detection and reconfiguration of arrays is introduced. The underlying methodology is based on a partitioning algorithm to determine reconfigurability. After reconfiguration a compaction algorithm is used to optimize results. The application of this methodology to fault-stealing-based algorithms has shown good results in terms of the added required redundancy, even for fault distributions that were unreconfigurable when the reconfiguration algorithm was applied alone.>

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Available abstract

An approach to array fault tolerance is presented. A parametric tool for reconfigurability detection and reconfiguration of arrays is introduced. The underlying methodology is based on a partitioning algorithm to determine reconfigurability. After reconfiguration a compaction algorithm is used to optimize results. The application of this methodology to fault-stealing-based algorithms has shown good results in terms of the added required redundancy, even for fault distributions that were unreconfigurable when the reconfiguration algorithm was applied alone.>

Key concepts: Reconfigurability, Control reconfiguration, Redundancy (engineering), Fault tolerance, Computer science, Parametric statistics, Algorithm, Distributed computing

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