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
Link To Document :
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