Open AccessInput vulnerability‐aware approximate triple modular redundancy: higher fault coverage, improved search space, and reduced area overhead
Author(s) -
Arifeen Tooba,
Hassan Abdus Sami,
Moradian Hossein,
Lee Jeong A.
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2018.1042
Subject(s) - triple modular redundancy , redundancy (engineering) , reduction (mathematics) , computer science , overhead (engineering) , modular design , vulnerability (computing) , reliability engineering , fault tolerance , algorithm , embedded system , mathematics , distributed computing , engineering , geometry , computer security , operating system
Area overhead reduction in conventional triple modular redundancy (TMR) by using approximate modules has been proposed in the literature. However, the vulnerability of approximate TMR (ATMR) in the case of a critical input, where faults can lead to errors at the output, is yet to be studied. Here, identifying critical input space through automatic test pattern generation and making it unavailable for the technique of approximating modules of TMR (ATMR) were focused, which involves a prime implicant reduction expansion. The results indicate that the proposed method provides 75–98% fault coverage, which amounts up to 43.8% improvement over that achieved previously. The input vulnerability‐aware approach enables a drastic reduction in search space, ranging from 41.5 to 95.5%, for the selection of candidate ATMR modules and no compromise on the area overhead reduction is noticed.