DocumentCode :
2718195
Title :
A Bayesian based EDA tool for accurate VLSI reliability evaluations
Author :
Ibrahim, Walid ; Beg, Azam ; Amer, Hoda
Author_Institution :
Coll. of Inf. Technol., UAE Univ., Al Ain
fYear :
2008
fDate :
16-18 Dec. 2008
Firstpage :
101
Lastpage :
105
Abstract :
As the sizes of (nano) device are aggressively scaled deep towards the nanometer regime, the design and manufacturing of future nano-circuits will become extremely complex and inevitably introduce more defects and their functioning will be adversely affected by transient faults. Therefore, accurately calculating the reliability of future designs will become a very important factor for nano-circuit designers as they investigate several design alternatives to optimize the trade-offs between the conflicting metrics of area-power-energy-delay versus reliability. This paper introduces a novel EDA tool for accurate calculation of future nano-circuits reliabilities. Our aim is to provide both educational and research institutions (as well as the semiconductor industry at a later stage) with an accurate and easy to use tool for comparing the reliability of different design alternatives, and for selecting the design that best fits a set of given (design) constraints.
Keywords :
Bayes methods; VLSI; electronic design automation; integrated circuit reliability; nanotechnology; Bayesian based EDA tool; VLSI reliability evaluations; area-power-energy-delay; electronic design automation; semiconductor industry; transient faults; Bayesian methods; DNA; Design optimization; Electronic design automation and methodology; Electronics industry; Manufacturing; Nanoscale devices; Semiconductor device reliability; Very large scale integration; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Information Technology, 2008. IIT 2008. International Conference on
Conference_Location :
Al Ain
Print_ISBN :
978-1-4244-3396-4
Electronic_ISBN :
978-1-4244-3397-1
Type :
conf
DOI :
10.1109/INNOVATIONS.2008.4781735
Filename :
4781735
Link To Document :
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