DocumentCode
3241099
Title
Globally Optimized Robust Systems to Overcome Scaled CMOS Reliability Challenges
Author
Mitra, Subhasish
Author_Institution
Depts. of Electr. Eng. & Comput. Sci., Stanford Univ., Stanford, CA
fYear
2008
fDate
10-14 March 2008
Firstpage
941
Lastpage
946
Abstract
Future system design methodologies must accept the fact that the underlying hardware will be imperfect, and enable design of robust systems that are resilient to hardware imperfections. Three techniques that can enable a sea change in robust system design are: 1. built-in soft error resilience (BISER), 2. circuit failure prediction, and 3. concurrent autonomous self-test using stored patterns (CASP). Global optimization across multiple abstraction layers is essential for cost-effective robust system design using these techniques.
Keywords
CMOS integrated circuits; error correction; integrated circuit testing; BISER; CASP; built-in soft error resilience; circuit failure prediction; concurrent autonomous self-test using stored patterns; cost-effective robust system design; scaled CMOS reliability; Built-in self-test; Circuits; Costs; Design optimization; Error correction; Hardware; Latches; Logic; Resilience; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Design, Automation and Test in Europe, 2008. DATE '08
Conference_Location
Munich
Print_ISBN
978-3-9810801-3-1
Electronic_ISBN
978-3-9810801-4-8
Type
conf
DOI
10.1109/DATE.2008.4484801
Filename
4484801
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