DocumentCode
2011716
Title
Defect Tolerance Inspired by Artificial Evolution
Author
Djupdal, Asbjoern ; Haddow, Pauline C.
Author_Institution
IDI, Norwegian Univ. of Sci. & Technol., Trondheim
fYear
2008
fDate
7-9 April 2008
Firstpage
28
Lastpage
33
Abstract
Defect densities in integrated circuits are expected to increase as the semiconductor feature size decreases. Some form of transistor level defect tolerance is, therefore, desirable to reduce this increasing production challenge. Series and parallel replication of transistors can be applied to a circuit for tolerating stuck-open and stuck-closed transistors. The circuit is, however, still damaged by gate/drain and gate/source shorts. This paper applies an evolutionary algorithm to evolve a circuit tolerant to any single short between two transistor terminals. The evolved circuit is then analysed and a general defect tolerance technique is formed based on the evolved circuit. Applying the new technique to a circuit results in tolerance to any single stuck-open, stuck-closed, gate/drain shorted or gate/source shorted transistor. A Monte Carlo experiment compares the reliability of the new technique applied to a NAND gate with other redundant NAND gate implementations.
Keywords
evolutionary computation; fault tolerance; integrated circuit reliability; integrated circuit testing; evolutionary algorithm; gate-drain shorted transistor; gate-source shorted transistor; integrated circuit defect tolerance; semiconductor feature size; single stuck-open transistor; stuck-closed transistor; transistor terminal; Circuit analysis; Circuit faults; Computer Society; Evolutionary computation; Hardware; Logic gates; Monte Carlo methods; Production; Redundancy; Very large scale integration; Defect tolerance; Evolvable Hardware;
fLanguage
English
Publisher
ieee
Conference_Titel
Symposium on VLSI, 2008. ISVLSI '08. IEEE Computer Society Annual
Conference_Location
Montpellier
Print_ISBN
978-0-7695-3291-2
Electronic_ISBN
978-0-7695-3170-0
Type
conf
DOI
10.1109/ISVLSI.2008.77
Filename
4556765
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